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How to Make a Simple Tensorflow Speech Recognizer
 
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In this video, we'll make a super simple speech recognizer in 20 lines of Python using the Tensorflow machine learning library. I go over the history of speech recognition research, then explain (and rap about) how we can build our own speech recognition system using the power of deep learning. The code for this video is here: https://github.com/llSourcell/tensorflow_speech_recognition_demo Mick's winning code: https://github.com/mickvanhulst/tf_chatbot_lotr The weekly challenge can be found at the end of the 'Make a Game Bot' video: https://www.youtube.com/watch?v=mGYU5t8MO7s More learning resources: https://www.superlectures.com/iscslp2014/tutorial-4-deep-learning-for-speech-generation-and-synthesis http://andrew.gibiansky.com/blog/machine-learning/speech-recognition-neural-networks/ https://www.youtube.com/watch?v=LFDU2GX4AqM https://www.youtube.com/watch?v=g-sndkf7mCs Please subscribe! And like and comment. That's what keeps me going. And please support me on Patreon! I don't work for anyone, although I did make a one-off video for OpenAI because I love them: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 207447 Siraj Raval
Social Network Analysis
 
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An overview of social networks and social network analysis. See more on this video at https://www.microsoft.com/en-us/research/video/social-network-analysis/
Views: 5233 Microsoft Research
Ep. 1: Finding a Research Direction
 
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Recommended Citation: Tracy, S. J. [Get Your Qual On]. (2016). Making a difference with qualitative research [Video file]. Retrieved from https://youtu.be/tLu5IifevxM. For more information in formal text, see: Tracy, S. J. (2012). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact. Hoboken, NJ: Wiley-Blackwell. Whenever you’re taking a qualitative methods course or embarking on a research project, one of the first questions often is, “What is my project going to be about?” “What am I going to study for the semester?” So oftentimes for the first couple assignments, you’re asked to come up with a ‘Research Topic.’ However, I’m here to tell you that that is not a great way to start! Because “topic” is so broad. You don’t want to do “topic” because it doesn’t tell you what’s interesting or important. So my recommendation instead is that you start with a ‘Research Problem’ -- and this is a shout-out to Stan Deetz who really was the one who brought this to my attention when I was a graduate student. So rather than starting like, for me, with this broad topic of “Emotion in Organizations,” I might start instead with a specific problem, like some people are being emotionally abused in an organization, or some people are burned out or stressed out, or some people are feeling like they have to fake their emotions and that is alienating themselves to other facets of themselves that aren’t the organizationally prescribed one. So when you start with a problem, the cool thing is is that you already have a rationale built in because if your research ends up shedding light on that issue, then you at least have some practice significance. That is a main thing that qualitative research can do is draw practical significance and help create organizations, institutions, families and so on so that they are flourishing and not just surviving. The other thing that I encourage folks to ask themselves is this question here: “How did you come to be[come] curious about [that topic]?” (Is that what I said? “How did you come to be curious about that?” So I need to learn how to read and do videos at the same time!) If you ask yourself how is it that you became curious, you get at what you are super passionate about. And we know that with any type of research when you do it well, systematically, there’s going to become times that it becomes boring and overwhelming and that you’re going to have to keep going even when it is super tough. So if you ask yourself from the get-go, “Why is it that I became interested in this topic?” you’ll figure out the angle that you’re most interested in. So if I say, “Why is it that I became interested in emotions and organizations?” I can go back to situations, for instance when I worked on the cruise ship and I felt like I was not able to express the entire set of facets of Sarah Tracy. I was only allowed to be the happy, excited person. Even when my grandmother died, I wasn’t allowed to grieve. By helping me know why I’m curious about it that helps drive the research design and it helps me realize, “Okay, in future research, I need to observe situations where maybe people are asked to maintain a sense of self that is different than other important senses of themselves,” or I need to ask interview questions where I say, “Are there times when you feel like you have a facade on? And if you’re wearing that facade, how is it that you find other ways to express other facets of yourself?” And so that really helps kind of narrow. So that’s it for this little video on “Finding a Research Direction.” Thanks!
Views: 892 Get Your Qual On
NLP at Scale for Maintenance and Supply Chain Management — Ryan Chandler, Caterpillar
 
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How do you read 100,000 documents? The connection between the words we use and things and ideas that they represent can be represented as a structure. Using Neo4j this linguistic and semantic structure is developed to facilitate the large-scale analysis of text for meaning representation and automatic reading at scale. Learn how natural language processing can be implemented within Neo4j at scale to reveal actionable insights.  Also, see how these structures are visualized in virtual reality. Speaker: Ryan Chandler Location: GraphConnect NYC 2017
Views: 1416 Neo4j
Predicting the Winning Team with Machine Learning
 
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Can we predict the outcome of a football game given a dataset of past games? That's the question that we'll answer in this episode by using the scikit-learn machine learning library as our predictive tool. Code for this video: https://github.com/llSourcell/Predicting_Winning_Teams Please Subscribe! And like. And comment. More learning resources: https://arxiv.org/pdf/1511.05837.pdf https://doctorspin.me/digital-strategy/machine-learning/ https://dashee87.github.io/football/python/predicting-football-results-with-statistical-modelling/ http://data-informed.com/predict-winners-big-games-machine-learning/ https://github.com/ihaque/fantasy https://www.credera.com/blog/business-intelligence/using-machine-learning-predict-nfl-games/ Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 102994 Siraj Raval
New Brain Computer interface technology | Steve Hoffman | TEDxCEIBS
 
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Brain Computer interface technology opens up a world of possibilities. We are on the cusp of this technology that is so powerful and has the potential to so radically transform our lives and existence! After starting three venture-funded startups in Silicon Valley, Steven Hoffman, known as Captial Hoff, launched Founders Space with the mission to educate and accelerate entrepreneurs and intrapreneur. Founder Space has become one of the top startup accelerators in the world with over 50 partners in 22 countries. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Views: 271866 TEDx Talks
Psychological Research: Crash Course Psychology #2
 
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Want more videos about psychology every Monday and Thursday? Check out our sister channel SciShow Psych at https://www.youtube.com/scishowpsych! So how do we apply the scientific method to psychological research? Lots of ways, but today Hank talks about case studies, naturalistic observation, surveys and interviews, and experimentation. Also he covers different kinds of bias in experimentation and how research practices help us avoid them. -- Table of Contents The Scientific Method 2:06 Case Studies 3:05 Naturalistic Observation 3:48 Surveys and Interviews 4:15 Experimentation 6:35 Proper Research Practices 8:40 -- Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashCourse Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support CrashCourse on Subbable: http://subbable.com/crashcourse
Views: 3356011 CrashCourse
Ever wonder how Bitcoin (and other cryptocurrencies) actually work?
 
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Bitcoin explained from the viewpoint of inventing your own cryptocurrency. Home page: https://www.3blue1brown.com/ Brought to you by you: http://3b1b.co/btc-thanks And by Protocol Labs: https://protocol.ai/join/ Some people have asked if this channel accepts contributions in cryptocurrency form. Indeed! http://3b1b.co/crypto 2^256 video: https://youtu.be/S9JGmA5_unY Music by Vincent Rubinetti: https://soundcloud.com/vincerubinetti/heartbeat Here are a few other resources I'd recommend: Original Bitcoin paper: https://bitcoin.org/bitcoin.pdf Block explorer: https://blockexplorer.com/ Blog post by Michael Nielsen: https://goo.gl/BW1RV3 (This is particularly good for understanding the details of what transactions look like, which is something this video did not cover) Video by CuriousInventor: https://youtu.be/Lx9zgZCMqXE Video by Anders Brownworth: https://youtu.be/_160oMzblY8 Ethereum white paper: https://goo.gl/XXZddT ------------------ Animations largely made using manim, a scrappy open source python library. https://github.com/3b1b/manim If you want to check it out, I feel compelled to warn you that it's not the most well-documented tool, and has many other quirks you might expect in a library someone wrote with only their own use in mind. Music by Vincent Rubinetti. Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u If you want to contribute translated subtitles or to help review those that have already been made by others and need approval, you can click the gear icon in the video and go to subtitles/cc, then "add subtitles/cc". I really appreciate those who do this, as it helps make the lessons accessible to more people. ------------------ 3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that). If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended Various social media stuffs: Website: https://www.3blue1brown.com Twitter: https://twitter.com/3Blue1Brown Patreon: https://patreon.com/3blue1brown Facebook: https://www.facebook.com/3blue1brown Reddit: https://www.reddit.com/r/3Blue1Brown
Views: 2554848 3Blue1Brown
Lecture 15: Coreference Resolution
 
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Lecture 15 covers what is coreference via a working example. Also includes research highlight "Summarizing Source Code", an introduction to coreference resolution and neural coreference resolution. ------------------------------------------------------------------------------- Natural Language Processing with Deep Learning Instructors: - Chris Manning - Richard Socher Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component. For additional learning opportunities please visit: http://stanfordonline.stanford.edu/
Introduction to Research Data Management
 
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A workshop presented by Dianna Morganti to graduate students of Texas State University as part of the Grad College Shop Talks at the Albert B. Alkek Library.
Views: 374 alkeklibrary
Visualizing Survey Data using Tableau
 
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Steve Wexler's presentation on visualizing survey data from the 2014 Tableau Conference.
Views: 74622 Steve Wexler
Women Techmakers Summit: NY - My Personal Story, and My Work at Google Research with Corinna Cortes
 
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Corinna Cortes is the Head of Google Research, NY, where she is working on a broad range of theoretical and applied large-scale machine learning problems. Corinna speaks about how she got into the tech world, and some work that is happening within the Research team at Google. Prior to Google, Corinna spent more than ten years at AT&T Labs - Research, formerly AT&T Bell Labs, where she held a distinguished research position. Corinna's research work is well-known in particular for her contributions to the theoretical foundations of support vector machines (SVMs), for which she jointly with Vladimir Vapnik received the 2008 Paris Kanellakis Theory and Practice Award, and her work on data-mining in very large data sets for which she was awarded the AT&T Science and Technology Medal in the year 2000. Corinna received her MS degree in Physics from University of Copenhagen and joined AT&T Bell Labs as a researcher in 1989. She received her Ph.D. in computer science from the University of Rochester in 1993. Corinna is also a competitive runner and a mother of twins.
Views: 3255 Google Developers
Will This Trick Your Brain? (Color TEST)
 
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Your eyes and brain are pretty amazing! Watch ART vs SCIENCE: https://youtu.be/6Z37JA-wmgQ Subscribe: http://bit.ly/asapsci Written by Rachel Salt, Gregory Brown and Mitchell Moffit GET THE ASAPSCIENCE BOOK: http://asapscience.com/book/ FOLLOW US! Instagram and Twitter: @whalewatchmeplz and @mitchellmoffit Clickable: http://bit.ly/16F1jeC and http://bit.ly/15J7ube AsapINSTAGRAM: https://instagram.com/asapscience/ Facebook: http://facebook.com/AsapSCIENCE Twitter: http://twitter.com/AsapSCIENCE Tumblr: http://asapscience.tumblr.com Vine: Search "AsapSCIENCE" on vine! SNAPCHAT 'whalewatchmeplz' and 'pixelmitch' Created by Mitchell Moffit (twitter @mitchellmoffit) and Gregory Brown (twitter @whalewatchmeplz). Send us stuff! ASAPSCIENCE INC. P.O. Box 93, Toronto P Toronto, ON, M5S2S6 Further Reading: Number of discernible colors for color-deficient observers estimated from the MacAdam limits https://www.osapublishing.org/josaa/abstract.cfm?uri=josaa-27-10-2106 Afterimage of Perceptually Filled-in Surface http://www.cns.atr.jp/~kmtn/pdf/ssyksnScience01.pdf The primary visual cortex fills in color http://www.pnas.org/content/101/52/18251.full Microsaccades: Small steps on a long way http://www.sciencedirect.com/science/article/pii/S0042698909003691 Molecular Genetics of Human Color Vision: The Genes Encoding Blue, Green, and Red Pigments http://www.blueconemonochromacy.org/wp-content/uploads/2011/03/Science-1986-Nathans-193-202.pdf Comparing levels of crosstalk with red/cyan, blue/yellow, and green/magenta anaglyph 3D glasses http://cmst.curtin.edu.au/wp-content/uploads/sites/4/2016/05/2010-11.pdf Spooky Science: Discovering the Eerie Colors behind Afterimages http://www.scientificamerican.com/article/bring-science-home-afterimages/ Plants and colour: Flowers and pollination http://www.sciencedirect.com/science/article/pii/S0030399208002442 The influence of pigmentation patterning on bumblebee foraging from flowers of Antirrhinum majus. http://www.ncbi.nlm.nih.gov/pubmed/23420080 Why Are So Many Bird Flowers Red? http://www.ncbi.nlm.nih.gov/pmc/articles/PMC521733/ Mighty Mutualisms: The Nature of Plant-pollinator Interactions http://www.nature.com/scitable/knowledge/library/mighty-mutualisms-the-nature-of-plant-pollinator-13235427 The number of known plants species in the world and its annual increase http://www.biotaxa.org/Phytotaxa/article/view/phytotaxa.261.3.1
Views: 4975400 AsapSCIENCE
Distributed Random Forest 05/29
 
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WANT TO EXPERIENCE A TALK LIKE THIS LIVE? Barcelona: https://www.datacouncil.ai/barcelona New York City: https://www.datacouncil.ai/new-york-city San Francisco: https://www.datacouncil.ai/san-francisco Singapore: https://www.datacouncil.ai/singapore Video Intro Animation provided by http://animoto.com/ More info and slides here: http://www.hakkalabs.co/articles/big-data-distributed-randomforest/ Jan Vitek of Purdue University discusses the design and implementation of Distributed Random Forest in H2O. Bio: Dr. Vitek paired with 0xdata to make a better world for Math. He is on sabbatical with 0xdata & a full Professor of Computer Science at Purdue. Jan's students are solving some of the hardest problems in Programming Language and Virtual Machine Implementations. Jan is a hacker -- He developed Distributed Random Forest for H2O. History of the distributed random forest algorithm: The algorithm was first developed by Yali Amit, and Donald German. Their paper was first published in 1997 under the title "Shape quantization and recognition with random trees." This paper was significant because it was the first to mention the idea of searching over a random subset of available decisions when splitting a node, in the context of growing a single tree. But that wasn't the random forest algorithm as we know it today. In 2001, Leo Breiman introduced the algorithm as we recognize and use it today. Leo Breiman is generally regarded as one of the forefathers and pioneers of data mining and machine learning. Breiman's approach had a forest of of uncorrelated trees using what is described as a cart-like procedure. These random trees combined with randomized node optimization and a procedure called bagging (machine learning meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It is usually applied to decision tree methods). And just a little bit of trivia about the algorithm: Leo Breiman originally wrote the algorith in Fortran 77. Random forest algorithm in use today Today, the Random Forest Algorithm is one of the best available classification algorithms. It is used to accurately classify big sets of data. Of course, today, big data is a hot topic. Many sites need to aggregate a large quantity of information about their users, their friends, and their friends of friends, and then apply various business logic and analytics algorithms on top of that data in order to extract various types of business intelligence. It takes special algorithms and special people who can work with these algorithms to accomplish that. And the need to be able to handle big data is growing especially fast with the proliferation of social media and social use of various features across the web. FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai Facebook: https://www.facebook.com/datacouncilai
Views: 1976 Data Council
2 Ways to Create Custom Titles
 
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Titles are super important. They tell your viewers and YouTube what your video is about. So, what should you include in your titles? Here are two ways to make awesome titles! Learn more at: goo.gl/k6RY0d - Level up your YouTube skills with Creator Academy lessons: http://goo.gl/E9umlU - See index of all lessons: http://goo.gl/x2h1NG - Get how-to step-by-step help: http://goo.gl/fBzr7
Views: 141350 YouTube Creators
Introduction to Data Science with R - Data Analysis Part 1
 
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Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 1024051 David Langer
Jens Ludwig: "Machine Learning in the Criminal Justice System" | Talks at Google
 
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Jens Ludwig, Director of the University of Chicago Crime Lab, talks about applying machine learning to reducing crime in Chicago and other public policy areas. In 2008, Ludwig helped found the Crime Lab to carry out data-driven methods to prevent crime and violence, and reduce the harms associated with the criminal justice system. Crime Lab’s work on gun policy, reducing crime, and education intervention studies have led to new policy initiatives in a number of US cities. The Crime Lab been has received coverage on major news outlets such as The New York Times and The Wall Street Journal. It is also the recent recipient of a $10 million donation from billionaire philanthropist Ken Griffin. Ludwig is the McCormick Foundation Professor of Social Service Administration, Law, and Public Policy at the University of Chicago. He is also a non-resident senior fellow in economic studies at the Brookings Institution, a research associate at the National Bureau of Economic Research (NBER), and co-director of the NBER's Working Group on the Economics of Crime. Ludwig is an economist by training and in 2012 was elected to the Institute of Medicine of the National Academies.
Views: 3278 Talks at Google
Deep Net Performance - Ep. 24 (Deep Learning SIMPLIFIED)
 
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Training a large-scale deep net is a computationally expensive process, and common CPUs are generally insufficient for the task. GPUs are a great tool for speeding up training, but there are several other options available. Deep Learning TV on Facebook: https://www.facebook.com/DeepLearningTV/ Twitter: https://twitter.com/deeplearningtv A CPU is a versatile tool than can be used across many domains of computation. However, the cost of this versatility is the dependence on sophisticated control mechanisms needed to manage the flow of tasks. CPUs also perform tasks serially, requiring the use of a limited number of cores in order to build in parallelism. Even though CPU speeds and memory limits have increased over the years, a CPU is still an impractical choice for training large deep nets. Vector implementations can be used to speed up the deep net training process. Generally, parallelism comes in the form of both parallel processing and parallel programming. Parallel processing can either involve shared resources on a single computer, or distributed computing across a cluster of nodes. The GPU is a common tool for parallel processing. As opposed to a CPU, GPUs tend to hold large numbers of cores – anywhere from 100s to even 1000s. Each of these cores is capable of general purpose computing, and the core structure allows for large amounts of parallelism. As a result, GPUs are a popular choice for training large deep nets. The Deep Learning community provides GPU support through various libraries, implementations, and a vibrant ecosystem fostered by nVidia. The main downside of a GPU is the amount of power required to run one relative to the alternatives. The “Field Programmable Gate Array”, or FPGA, is another choice for training a deep net. FPGAs were originally used by electrical engineers to design mock-ups for different computer chips without having to custom build a chip for each solution. With an FPGA, chip function can be programmed at the lowest level – the logic gate. With this flexibility, an FPGA can be tailored for deep nets so as to require less power than a GPU. Aside from speeding up the training process, FPGAs can also be used to run the resultant models. For example, FPGAs would be useful for running a complex convolutional net over thousands of images every second. The downside of an FPGA is the specialized knowledge required during design, setup, and configuration. Another option is the “Application Specific Integrated Circuit”, or ASIC. ASICs are highly specialized, with designs built in at the hardware and integrated circuit level. Once built, they will perform very well at the task they were designed for, but are generally unusable in any other task. Compared to GPUs and FPGAs, ASICs tend to have the lowest power consumption requirements. There are several Deep Learning ASICs such as the Google Tensor Processing Unit (TPU), and the chip being built by Nervana Systems. There are a few parallelism options available with distributed computing such as data parallelism, model parallelism, and pipeline parallelism. With data parallelism, different subsets of the data are trained on different nodes in parallel for each training pass, followed by parameter averaging and replacement across the cluster. Libraries like TensorFlow support model parallelism, where different portions of the model are trained on different devices in parallel. With pipeline parallelism, workers are dedicated to tasks, like in an assembly line. The main idea is to ensure that each worker is relatively well-utilized. A worker starts the next job as soon as the current one is complete, a strategy that minimizes the total amount of wasted time. Parallel programming research has been active for decades, and many advanced techniques have been developed. Generally, algorithms should be designed with parallelism in mind in order to take full advantage of the hardware. One such way to do this is to decompose the data model into independent chunks that each perform one instance of a task. Another option is to group all the tasks by their dependencies, so that each group is completely independent of the others. As an addition, you can implement threads or processes that handle different task groups. These threads can be used as a standalone solution, but will provide significant speed improvements when combined with the grouping method. To learn more about this topic, follow this link to the Open HPI Massive Open Online course (MOOC) on parallel programming - https://open.hpi.de/courses/parprog2014. Credits Nickey Pickorita (YouTube art) - https://www.upwork.com/freelancers/~0147b8991909b20fca Isabel Descutner (Voice) - https://www.youtube.com/user/IsabelDescutner Dan Partynski (Copy Editing) - https://www.linkedin.com/in/danielpartynski Marek Scibior (Prezi creator, Illustrator) - http://brawuroweprezentacje.pl/ Jagannath Rajagopal (Creator, Producer and Director) - https://ca.linkedin.com/in/jagannathrajagopal
Views: 26513 DeepLearning.TV
Proactive Learning and Structural Transfer Learning: Building Blocks of Cognitive Systems
 
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Dr. Jaime Carbonell is an expert in machine learning, scalable data mining (“big data”), text mining, machine translation, and computational proteomics. He invented Proactive Machine Learning, including its underlying decision-theoretic framework, and new Transfer Learning methods. He is also known for the Maximal Marginal Relevance principle in information retrieval. Dr. Carbonell has published some 350 papers and books and supervised 65 Ph.D. dissertations. He has served on multiple governmental advisory committees, including the Human Genome Committee of the National Institutes of Health, and is Director of the Language Technologies Institute. At CMU, Dr. Carbonell has designed degree programs and courses in language technologies, machine learning, data sciences, and electronic commerce. He received his Ph.D. from Yale University. For more, read the white paper, "Computing, cognition, and the future of knowing" https://ibm.biz/BdHErb
Views: 1775 IBM Research
Feature level Sentiment Analysis for Chinese Product Reviews
 
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ChennaiSunday Systems Pvt.Ltd We are ready to provide guidance to successfully complete your projects and also download the abstract, base paper from our website IEEE 2014 Java Projects: http://www.chennaisunday.com/projectsNew.php?id=1&catName=IEEE_2014-2015_Java_Projects IEEE 2014 Dotnet Projects: http://www.chennaisunday.com/projectsNew.php?id=20&catName=IEEE_2014-2015_DotNet_Projects Output Videos: https://www.youtube.com/channel/UCCpF34pmRlZbAsbkareU8_g/videos IEEE 2013 Java Projects: http://www.chennaisunday.com/projectsNew.php?id=2&catName=IEEE_2013-2014_Java_Projects IEEE 2013 Dotnet Projects: http://www.chennaisunday.com/projectsNew.php?id=3&catName=IEEE_2013-2014_Dotnet_Projects Output Videos: https://www.youtube.com/channel/UCpo4sL0gR8MFTOwGBCDqeFQ/videos IEEE 2012 Java Projects: http://www.chennaisunday.com/projectsNew.php?id=26&catName=IEEE_2012-2013_Java_Projects Output Videos: https://www.youtube.com/user/siva6351/videos IEEE 2012 Dotnet Projects: http://www.chennaisunday.com/projectsNew.php?id=28&catName=IEEE_2012-2013_Dotnet_Projects Output Videos: https://www.youtube.com/channel/UC4nV8PIFppB4r2wF5N4ipqA/videos IEEE 2011 Java Projects: http://chennaisunday.com/projectsNew.php?id=29&catName=IEEE_2011-2012_Java_Project IEEE 2011 Dotnet Projects: http://chennaisunday.com/projectsNew.php?id=33&catName=IEEE_2011-2012_Dotnet_Projects Output Videos: https://www.youtube.com/channel/UCtmBGO0q5XZ5UsMW0oDhZ-A/videos IEEE PHP Projects: http://www.chennaisunday.com/projectsNew.php?id=41&catName=IEEE_PHP_Projects Output Videos: https://www.youtube.com/user/siva6351/videos Java Application Projects: http://www.chennaisunday.com/projectsNew.php?id=34&catName=Java_Application_Projects Dotnet Application Projects: http://www.chennaisunday.com/projectsNew.php?id=35&catName=Dotnet_Application_Projects Android Application Projects: http://www.chennaisunday.com/projectsNew.php?id=36&catName=Android_Application_Projects PHP Application Projects: http://www.chennaisunday.com/projectsNew.php?id=37&catName=PHP_Application_Projects Struts Application Projects: http://www.chennaisunday.com/projectsNew.php?id=38&catName=Struts_Application_Projects Java Mini Projects: http://www.chennaisunday.com/projectsNew.php?id=39&catName=Java_Mini_Projects Dotnet Mini Projects: http://www.chennaisunday.com/projectsNew.php?id=40&catName=Dotnet_Mini_Projects -- *Contact * * P.Sivakumar MCA Director Chennai Sunday Systems Pvt Ltd Phone No: 09566137117 No: 1,15th Street Vel Flats Ashok Nagar Chennai-83 Landmark R3 Police Station Signal (Via 19th Street) URL: www.chennaisunday.com
Views: 201 Chennai Sunday
Overpopulation – The Human Explosion Explained
 
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In a very short amount of time the human population exploded and is still growing very fast. Will this lead to the end of our civilization? Check out https://ourworldindata.org by Max Roser! Support us on Patreon so we can make more videos (and get cool stuff in return): https://www.patreon.com/Kurzgesagt?ty=h Kurzgesagt merch here: http://bit.ly/1P1hQIH Get the music of the video here: Soundcloud: http://bit.ly/2hKx3Zu Bandcamp: http://bit.ly/2hfSqTf Facebook: https://www.facebook.com/epic-mountain-music THANKS A LOT TO OUR LOVELY PATRONS FOR SUPPORTING US: Stuart Alldritt, Tasia Pele, Stan Serebryakov, Mike Janzen, Jason Heddle, August, Daniel Smith, Jonathan Herman, Rahul Rachuri, Piotr Gorzelany, Lisa Allcott, Горан Гулески, Eric Ziegast, Kean Drake, Friendly Stranger, NicoH, Adrian Rutkiewicz, Markus Klemm, Leandro Nascimento, Gary Chan, Shawhin Layeghi, Oscar Hernandez, Dale Prinsse, Vaclav Vyskocil, Sup3rW00t, Ryan Coonan, Tam Lerner, Dewi Cadat, Luis Aguirre, Andy McVey, Vexorum, Boris, Adam Wisniewski, Yannic Schreiber, Erik Lilly, Ellis, Dmitry Starostin, Akshay Joshi, Peter Tinti, kayle Clark, Mortimer Brewster, Marc Legault, Sumita Pal, Tarje Hellebust Jr., streetdragon95, Taratsamura, Sam Dickson, Bogdan Firicel, Saul Vera, Aaron Jacobs, Ben Arts, R B Dean, Kevin Beedon, Patrik Pärkinen, Duncan Graham, Johan Thomsen, Emily Tran, Adam Flanc, Adam Jermyn, Ali Uluyol Help us caption & translate this video! http://www.youtube.com/timedtext_cs_panel?c=UCsXVk37bltHxD1rDPwtNM8Q&tab=2 Overpopulation – The Human Explosion Explained
2016 AAA Invited Session: COPAR AND THE RE-USE OF ANTHROPOLOGICAL ARCHIVES IN THE DIGITAL AGE
 
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This panel brings together papers on anthropological data re-use in the digital era. Panelists will share new research as well as discussions from a Wenner-Gren sponsored workshop in June 2016, “Revitalizing CoPAR for the Digital Age.” In the 1990s, the Council for the Preservation of Anthropological Records (CoPAR) was founded to help “anthropologists, librarians, archivists, information specialists and others preserve and provide access to the record of human diversity and the history of the discipline.” Over the past 20 years, the field of Anthropology has changed dramatically, as have the records anthropologists produce. Today, the preservation and stewardship of anthropological records face new challenges as anthropologists create records in a wider range of formats, and as the re-use of these materials changes. Following on the conference’s theme of Evidence, Accident, Discovery, this panel discusses trends in re-uses of anthropological materials in digitized archival collections, and reflects on both unexpected uses of these materials and the ethical implications of digital anthropological data and their uses today.
You Can't Play 20 Questions with Nature and Win
 
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Deep learning has catapulted to the front page of the New York Times, formed the core of the so-called "Google brain," and achieved impressive results in vision, speech recognition, and elsewhere. Yet building intelligent systems requires us to go way beyond the capabilities of deep learning and today's data-mining systems. The future of the Big Data paradigm lies in extending these powerful methods to acquire knowledge from text, databases, diagrams, images and video. We also need to reason tractably using this acquired knowledge to make sense of the world, and to draw novel conclusions. Dr. Oren Etzioni, UW Computer Science and Engineering Professor, describes research at the new Allen Institute for AI aimed at building this next generation of intelligent systems. 12/4/2014 http://www.cs.washington.edu/events/colloquia/search/details?id=2627 http://uwtv.org
Views: 556 UW Video
Reproducible analysis (1 of 2) with knitr, R Markdown, and RStudio by Dr Jeromy Anglim
 
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Video Part 1 of 2: http://youtu.be/XqzHnYLr5BE Video Part 2 of 2: http://youtu.be/XqzHnYLr5BE Repository with code examples: https://github.com/jeromyanglim/rmarkdown-rmeetup-2012 PDF of slides: https://github.com/jeromyanglim/rmarkdown-rmeetup-2012/blob/master/talk/main.pdf?raw=true Reproducible analysis represents a process for transforming text, code, and data to produce reproducible artefacts including reports, journal articles, slideshows, theses, and books. Reproducible analysis is important in both industry and academic settings for ensuring a high quality product. R has always provided a powerful platform for reproducible analysis. However, in the first half of 2012, several new tools have emerged that have substantially increased the ease with which reproducible analysis can be performed. In particular, knitr, R Markdown, and RStudio combine to create a user-friendly and powerful set of open source tools for reproducible analysis. This talk will provide an introduction to Markdown and using knitr and R Markdown to produce reproducible reports. In partiuclar, it will discuss caching slow analyses, producing attractive plots and tables, and using RStudio as an IDE. The talk will also show how the markdown package on CRAN can be used to work with other R development environments and workflows for report production. If time permits, the talk may touch on how knitr can be used with other markup languages including LaTeX and HTML. Jeromy Anglim is a Post Doctoral Fellow in the Melbourne Business School. He has spent the last 10 years teaching statistics in university settings. He has also worked as a statistical consultant in market research, selection and recruitment, and organisational climate survey research. He has been using R for the last five years and regularly blogs about the power of R at http://jeromyanglim.blogspot.com Relevant links: knitr: http://yihui.name/knitr/ RStudio: http://rstudio.org/ Markdown: http://daringfireball.net/projects/markdown/ R Markdown: http://jeromyanglim.blogspot.com.au/2012/05/getting-started-with-r-markdown-knitr.html R Reproducible Analysis: http://cran.r-project.org/web/views/ReproducibleResearch.html
Views: 8174 Jeromy Anglim
Fever The Ghost - SOURCE (official music video)
 
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Official music video for ((SOURCE)) by Fever The Ghost. http://felixcolgrave.com http://fevertheghost.bandcamp.com/ https://itunes.apple.com/us/album/crab-in-honey-ep/id786798992 https://www.facebook.com/fevertheghost
Views: 28284002 Felix Colgrave
Music Industry Research from my Digital Marketing Blog @ WPLV24. SEASON 1 EPISODE 7
 
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Season I : Video blog 7 of 12 - Back from summer break and ready to rock!! The 2014 Summer Music Festival season was stellar and now it's back to the Music Industry Research part of the year. Having discussed the Business 101 fundamentals prior to the summer break, I feel confident that you all are one step closer to starting, growing or innovating your "business music career" I like the sound of that, I should trademark it.... Nahh... who has the time! Actually, many people and organizations do make the time not only to COPYRIGHT but also to POLICE the rights of their clients Intellectual Property. Interested in learning more... GREAT!!! Then TUNE in to my FREE EDITORIAL NEWS REPORTS on this channel not only on the MUSIC INDUSTRY this year but on other industries in the coming years. Remember that FAIR USE of NEWSWORTHY information gives you some liberties to disseminate and share information so long as you DO NOT CONFUSE or MISLEAD the user into thinking you are ASSOCIATED in any way with the content owner. So, in FAIR DISCLOSURE.... I AM NOT ASSOCIATED with any government agency, not-for profit organization and/or private or public company mentioned in this video blog and the links to their websites, research and public reports are available to the general public. ( that means you :-) So... as much as I have tried to compare and contrast what different organizations say about a certain topic, WE CAN ALL FORM our own opinions, I tend to contrast anyones "point of view" with statistical information from the government ( BLS.GOV, BEA.GOV ARTS.GOV...etc BUT THAT'S JUST ME. :-) So, please use the information discussed in ANY OF MY FREE VIDEO BLOGS purely as a starting point as your situation will certainly require a longer commitment than the 5 minutes we are about to share. Should you FANCY my research conclusions then feel free to PURCHASE the PRINTED "End Of Year Report" from my Digital Marketing Blog. It has no Audio, Video or Interactive Multi-Media content but its straight forward single column LARGE BOLD TEXT That's EZ2READ without too many bells and whistles ( other than some licensed royalty free background images ) It does contain the bulk of my conclusions and consolidate research not only on any given VIDEO BLOG topic but also for the entire years of daily, weekly, monthly sharing. DON'T FORGET... The daily tweets, weekly blog posts and monthly videos get a FRESH RE-FORMAT at the end of the year in November/December and is available on MAGCLOUD.COM the Following year before my new blogging season begings in March. WPLV24 : EMPOWERING US with my small business entrepreneurs yearly report and helping INNOVATE my knowledge sharing mechanisms even further. Thanks. A WIN WIN!!! :-) One last thing... I ask you to JOIN this YouTube channel and help me reach PARTNER status. Thanks and remember, The Wireless Cowboy is always on your side. This video has been re-formatted and re-posted as part of my yearly archive process. It is presented purely as a free research video that reinforces my daily tweets, weekly digital marketing blog topics and my own personal curiosity. The original video and subsequent daily, weekly and monthly posts launched in 2014 with . . .
Views: 103 WPLV24
Image Inpainting
 
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Ripped family photo? Vandalized image? No problem. To Grandma Shirley and Grandpa Tony: Happy 50th Anniversary! Fast Digital Image Inpainting Manuel M. Oliveira, Brian Bowen, Richard McKenna and Yu-Sung Chang 2001 RIT, IMGS-362 Image Processing & Computer Vision II
Views: 1061 Matt Donato
Game Theory: The TRUTH Behind Nintendo's Amiibo Shortages
 
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Rosalina is Peach's DAUGHTER?!? ► http://bit.ly/1w3ofMl The Science of Link's Hookshot ► http://bit.ly/1MAdhFp If you keep up with gaming news, then over the last two years, no doubt you've heard about the infamous Amiibo shortages, where Nintendo has failed to supply the US with enough Amiibo to meet the fan demand. But is it really a supply issue or does Nintendo have other plans? How are Europe and Japan able to have enough Amiibo but not the US? And Nintendo has historically had a pattern of creating shortages in the United States. Today, I'm looking at the economics of the Amiibo shortages to see what's really going on here. Become a Theorist! ►► http://bit.ly/1qV8fd6 Twitter: @MatPatGT Hang out with us on our NEW CHANNEL GTLive! ►► http://bit.ly/1LkSBnz GAME THEORY MERCH! Equip it HERE ►► http://gametheory.spreadshirt.com/ Legend of Zelda Theories: What's in Link's Potions? ► http://bit.ly/Zj2FsS Majora's Moon ISN'T a Moon ► http://bit.ly/1DN6lTa Which Link is the strongest? ► http://bit.ly/11pgbvi Pokemon Theories: Are Humans Pokemon? YES! ►► http://bit.ly/1Bexblg Pokemon Evolution EXPLAINED ► http://bit.ly/1zwIHus Is Jynx RACIST? ► http://bit.ly/15tVnoK
Views: 5785193 The Game Theorists
State of the Field 2016: Archaeology of Egypt – Third Session
 
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September 24th, 2016 2:00 pm Third session – “Breaking methodological boundaries”: Introduction – Samantha Lash (Brown University) 2:10 pm Pearce Paul Creasman (University of Arizona) – Expanding Methodological Boundaries in Egyptian Archaeology by Land and by Sea (or River!) As a result of the practice of ritually provisioning the dead for the afterlife and a climate favorable to preservation, ancient Egypt is today one of the most inspiring and alluring cultures in human history. Over the past two centuries, Egypt has been the subject of thousands of archaeological investigations that have added immensely to the collective understanding of its ancient culture and the world around it. While certain fundamental methodological advances in archaeology arose from these excavations (e.g., contextual seriation), archaeology in Egypt has yet to realize the full value of several other prominent and well-established modes of inquiry. This paper discusses the potential of two such disciplines and presents collaborative possibilities for moving forward with them: dendrochronology and maritime/underwater archaeology. 2:30 pm Willeke Wendrich (Cotsen Institute of Archaeology, UCLA) – Real Data, Virtual Reality: Theories of Visualization Egyptology has developed in a direction that is increasingly multi-disciplinary. When studying coffin texts, it is no longer sufficient to compare different printed text versions. In addition, the provenance, location of the text on the coffin, name and titles of owner, decorative schema and the materials used, all provide information relevant to the interpretation and the understanding of the religious and social context. Similarly, archaeology deals with sets of information provided by different specialists in various formats ranging from notebooks, spreadsheets, databases, maps and photographs to geophysical data and results of chemical and DNA analysis. To integrate and combine the results of complex research data visualization is an important tool, provided that it is used in a well-theorized way. 2:50 pm Response: N. Parker VanValkenburgh (Brown University) 3:10 pm Discussion
Views: 429 Brown University
Humans Need Not Apply
 
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Support Grey making videos: https://www.patreon.com/cgpgrey ## Robots, Etc: Terex Port automation: http://www.terex.com/port-solutions/en/products/new-equipment/automated-guided-vehicles/lift-agv/index.htm Command | Cat MieStar System.: http://www.catminestarsystem.com/capability_sets/command Bosch Automotive Technology: http://www.bosch-automotivetechnology.com/en/de/specials/specials_for_more_driving_safety/automated_driving/automated_driving.html Atlas Update: https://www.youtube.com/watch?v=SD6Okylclb8&list=UU7vVhkEfw4nOGp8TyDk7RcQ Kiva Systems: http://www.kivasystems.com PhantomX running Phoenix code: https://www.youtube.com/watch?v=rAeQn5QnyXo iRobot, Do You: https://www.youtube.com/watch?v=da-5Uw8GBks&list=UUB6E-44uKOyRW9hX378XEyg New pharmacy robot at QEHB: https://www.youtube.com/watch?v=_Ql1ZHSkUPk Briggo Coffee Experience: http://vimeo.com/77993254 John Deere Autosteer ITEC Pro 2010. In use while cultivating: https://www.youtube.com/watch?v=VAPfImWdkDw&t=19s The Duel: Timo Boll vs. KUKA Robot: https://www.youtube.com/watch?v=tIIJME8-au8 Baxter with the Power of Intera 3: https://www.youtube.com/watch?v=DKR_pje7X2A&list=UUpSQ-euTEYaq5VtmEWukyiQ Baxter Research Robot SDK 1.0: https://www.youtube.com/watch?v=wgQLzin4I9M&list=UUpSQ-euTEYaq5VtmEWukyiQ&index=11 Baxter the Bartender: https://www.youtube.com/watch?v=AeTs9tLsUmc&list=UUpSQ-euTEYaq5VtmEWukyiQ Online Cash Registers Touch-Screen EPOS System Demonstration: https://www.youtube.com/watch?v=3yA22B0rC4o Self-Service Check in: https://www.youtube.com/watch?v=OafuIBDzxxU Robot to play Flappy Bird: https://www.youtube.com/watch?v=kHkMaWZFePI e-david from University of Konstanz, Germany: https://vimeo.com/68859229 Sedasys: http://www.sedasys.com/ Empty Car Convoy: http://www.youtube.com/watch?v=EPTIXldrq3Q Clever robots for crops: http://www.crops-robots.eu/index.php?option=com_content&view=article&id=62&Itemid=61 Autonomously folding a pile of 5 previously-unseen towels: https://www.youtube.com/watch?v=gy5g33S0Gzo#t=94 LS3 Follow Tight: https://www.youtube.com/watch?v=hNUeSUXOc-w Robotic Handling material: https://www.youtube.com/watch?v=pT3XoqJ7lIY Caterpillar automation project: http://www.catminestarsystem.com/articles/autonomous-haulage-improves-mine-site-safety Universal Robots has reinvented industrial robotics: https://www.youtube.com/watch?v=UQj-1yZFEZI Introducing WildCat: https://www.youtube.com/watch?v=wE3fmFTtP9g The Human Brain Project - Video Overview: https://www.youtube.com/watch?v=JqMpGrM5ECo This Robot Is Changing How We Cure Diseases: https://www.youtube.com/watch?v=ra0e97Wiqds Jeopardy! - Watson Game 2: https://www.youtube.com/watch?v=kDA-7O1q4oo What Will You Do With Watson?: https://www.youtube.com/watch?v=Y_cqBP08yuA ## Other Credits Mandelbrot set: https://www.youtube.com/watch?v=NGMRB4O922I&list=UUoxcjq-8xIDTYp3uz647V5A Moore's law graph: http://en.wikipedia.org/wiki/File:PPTMooresLawai.jpg Apple II 1977: https://www.youtube.com/watch?v=CxJwy8NsXFs Beer Robot Fail m2803: https://www.youtube.com/watch?v=N4Lb_3_NMjE All Wales Ambulance Promotional Video: https://www.youtube.com/watch?v=658aiRoVp6s Clyde Robinson: https://www.flickr.com/photos/crobj/4312159033/in/photostream/ Time lapse Painting - Monster Spa: https://www.youtube.com/watch?v=ED14i8qLxr4
Views: 11283013 CGP Grey
30 Years of God Game History | Populous, Dungeon Keeper, Black & White, Spore and more
 
01:44:22
Let’s take a journey through time, from the beeps and bloops of the 1980’s to the modern day in PLAYING GOD -- a documentary covering 30 years of god simulation games. From industry legends like Peter Molyneux and Will Wright, to independent or even solo games, the God Game has been a beloved but underappreciated genre that deserves a thorough exploration. This is my 2nd feature-length video and my longest and most ambitious production to date, so I hope you enjoy the video as much as I did making it! PATREON ► https://www.patreon.com/IndigoGaming KO-FI ► https://ko-fi.com/IndigoGaming — TABLE OF CONTENTS 2:10 - Defining the God Game 4:26 - Genesis of the God Game 7:42 - The Bullfrog Era 8:47 - Powermonger 9:59 - ActRaiser 14:04 - Magic Carpet 16:36 - Magic Carpet 2 18:42 - Creatures 20:00 - Dungeon Keeper 25:22 - Populous: The Beginning 29:04 - Dungeon Keeper 2 31:26 - The End of Bullfrog 34:26 - The Lionhead Era 34:33 - Majesty: The Fantasy Kingdom Sim 36:50 - Startopia 38:40 - Black & White 51:18 - Black & White 2 1:01:11 - Spore 1:08:12 - Clones & Successors 1:10:11 - From Dust 1:12:10 - Reprisal Universe 1:13:04 - Dungeon Keeper Mobile 1:14:57 - Impire 1:15:43 - Dungeons 2 1:16:48 - Dungeons 3 1:17:44 - War for the Overworld 1:20:37 - The Indie Era 1:21:35 - Godus 1:27:47 - Godus Wars 1:30:58 - Reus 1:32:09 - Rise to Ruins 1:33:54 - Deisim 1:34:57 - Tethered 1:37:04 - Townsmen VR 1:38:08 - Crest 1:40:16 - The Universim 1:42:19 - In Conclusion — MUSIC CREDITS Dungeon Keeper, Black & White and Magic Carpet II soundtracks by RUSSELL SHAW Populous: The Beginning and Dungeon Keeper 2 soundtrack by MARK KNIGHT Black & White 2 soundtrack by PAUL ROMERO Additional music tracks from the YOUTUBE AUDIO LIBRARY and AUDIOBLOCKS — FOOTAGE CREDITS Deisim gameplay by Tommy Maloteaux | https://www.youtube.com/channel/UCcdE2DdApXf5W9_6oEetomg Townsmen VR gameplay by Klorinmannen | https://www.youtube.com/watch?v=Wu9_m-YgeP4 EGX - A Bullfrog and Lionhead retrospective https://www.youtube.com/watch?v=4wPfiRR4kXM No Man’s Sky gameplay by Video Games Source | https://www.youtube.com/watch?v=ZZunlk3CsDU Heart of Darkness gameplay by AdventureGameFan8 | https://www.youtube.com/watch?v=5j4faK2D4XU Evil Genius gameplay by Charmed | https://www.youtube.com/watch?v=Xn0J0m4BxO4 Rise to Ruins combat by FallenShogunGaming | https://www.youtube.com/watch?v=N8uZB9RqDvo https://www.youtube.com/watch?v=yl-xOJFX3yc “16-bit Memories” Amiga artwork by Toni Bratincevic http://www.interstation3d.com/work_personal.php Utopia footage by 5 Minutes of Every Game | https://www.youtube.com/watch?v=sGfhVWLtAYs&ab_channel=5MinutesofEveryGame Dungeon Keeper (Mobile) gameplay by Shadeslay | https://www.youtube.com/watch?v=-Y-Oe5ilQV0 Idle Worship gameplay by TheMajorasMask | https://www.youtube.com/watch?v=fozDwV9995I Curiosity footage by by VG247.com and cubeclickerplus https://www.youtube.com/watch?v=kE4URo7srPg https://www.youtube.com/watch?v=cg7xa3Ubn6o Miracle list http://blackandwhite.wikia.com/wiki/Miracles GDC Black & White talk with Peter Molyneux https://www.youtube.com/watch?v=69HTviSeQeE&ab_channel=GDC IGN Interview with Peter Molyneux https://www.youtube.com/watch?v=nQ-wTXDhR0g Evolution gameplay by Franco | https://www.youtube.com/watch?v=My6_g6gkb6Y Hi-Octane gameplay by InsertDisk | https://www.youtube.com/watch?v=3t7HR6LfdRg Fable: The Journey gameplay by TatarKhan | https://www.youtube.com/watch?v=DVYbY9RQ-iQ — SOURCES Job titles, credits, general game information Wikipedia | http://www.wikipedia.org Moby Games | http://www.mobygames.com History of Bullfrog https://www.filfre.net/2016/06/peter-molyneuxs-kingdom-in-a-box/ Populous II http://www.hardcoregaming101.net/populous-ii/ https://www.nowgamer.com/the-making-of-populous/ Information about cancelled Bullfrog projects http://www.designersnotebook.com/Game_Credits/game_credits.htm http://www.designersnotebook.com/Online_Articles/Dungeon_Keeper_3/dungeon_keeper_3.htm What happened to Spore’s development https://forum.quartertothree.com/t/how-spore-ended-up-cute-and-dumbed-down/48324 http://techland.time.com/2008/09/05/will_wright_and_spore_cute_vs/ Lionhead and Black & White http://simple.leforum.eu/t131-The-finals-hours-of-Black-White.htm https://www.eurogamer.net/articles/2016-05-12-lionhead-the-inside-story https://www.theguardian.com/technology/2016/may/20/lionhead-the-rise-and-fall-of-a-british-video-game-legend https://www.mcvuk.com/development/ip-profile-black-white Glenn Corpes’ comments about Peter Molyneux and interviews: https://www.youtube.com/watch?v=DAuvaAGnqQw&lc=UgisGGJrWmFb0ngCoAEC Godus articles https://www.rockpapershotgun.com/2016/02/04/godus-wars-dlc/ https://www.rockpapershotgun.com/2015/02/13/peter-molyneux-interview-godus-reputation-kickstarter/ Molyneux’s criticism of DK mobile game https://www.gamesindustry.biz/articles/2014-02-11-molyneux-eas-dungeon-keeper-crucifies-my-patience
Views: 284188 Indigo Gaming
Yelawolf - Till It’s Gone (Official Music Video)
 
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iTunes: http://smarturl.it/TillItsgone Sign up for updates: http://smarturl.it/Yelawolf.News Music video by Yelawolf performing Till It’s Gone. (C) 2014 Interscope Records Best of Yelawolf: https://goo.gl/vy7NZQ Subscribe here: https://goo.gl/ynkVDL #Yelawolf #TillItsGone #Vevo #HipHop #OfficialMusicVideo
Views: 93892112 YelawolfVEVO
Kemira - high performance polymer technology
 
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Kemira - Holographic 3D visualisation to demonstrate complex technology Kemira is a global chemicals company, providing customers in water-intensive industries with expertise, application know-how and chemicals that improve its customers’ water, energy and raw material efficiency. Kemira’s focus is on pulp & paper, oil & gas, mining and water treatment. At its annual Capital Markets Day, Kemira wanted to demonstrate the features and highlight the benefits of the high performance polymer technology for chemically enhanced oil recovery (CEOR) to a non-technical audience. Due to the nature of the audience, also business performance and potential of the technology needed to be made visible. To make a highly complex technology understandable to a crowd of non-experts in an interesting and memorable way is always a challenge. But to illustrate the business potential of the technology in a way the audience can relate to, is even more challenging. To better demonstrate its knowhow to a non-technical audience, Kemira decided to use advanced visualisation tools. Solution – holographic visualisation Stereoscape created an “outside-to-inside” animation within a holographic display, showing the technology to a detail. The eye-catching 3D animation demonstrates Kemira’s performance polymer technology as well as attracts visitors’ attention in an entirely new way. The animation was enhanced with colours and text to further accelerate understanding of the state-of-the-art technology. Stereoscape also created a 2D animated version – enriched with music – that can be utilised in other marketing channels. Results – a versatile communication tool The animation was shown for the first time at Kemira Capital Markets Day, where it helped Kemira to communicate the cutting-edge technology and its business potential. Making the invisible visible, the virtual presentation gives customers and visitors a chance to take a 3D-enriched digital look inside polymer waterproofing. The content that Steroscape created makes polymeers and CEOR understandable and interesting also to non-technical audience. While doing this in a visually rich and informative way, it really hit the point. The animation has proved to be a useful and versatile communication tool for Kemira: the executives take advantage of it in one-to-one meetings with investors, the holographic 3D version helps the specialists in R&D to explain the technology to the non-specialists, and the 2D version displayed at the Kemira headquarters’ lobby entertains and informs all visitors entering the company. Learn more about Stereoscape here http://www.stereoscape.com Learn more about our beautiful, cutting-edge product storytelling solutions here http://www.stereoscape.com/solutions Learn more about our key tools and technologies here http://www.stereoscape.com/toolbox Learn more about our works and cases with big clients http://www.stereoscape.com/work Learn more about our team, our story and our philosophy here http://www.stereoscape.com/about-us Read our news here http://www.stereoscape.com/news Read our blog here http://www.stereoscape.com/blog
Views: 934 Stereoscape
Before the First Cup - Microwaves, Lasers, Star Wars, Zombies, Energy Weapons & Voice Clones 3-31-17
 
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Before the First Cup - Ubiquitous Big Brother, Frequencies, Mad Science & Directed Energy 3-30-2017 - http://ucy.tv/Pages/Video/FTpCqBi7Afk Dr. Nick Begich On His Father's Mysterious Disappearance - https://www.youtube.com/watch?v=kuxrvv2yXdY Dr. Nick Begich Talks About Mind Control - https://www.youtube.com/watch?v=uCVLN-HDpLk EarthPulse.com - http://www.earthpulse.com/ Mind Control: The Ultimate Brave New World - http://www.earthpulse.com/epulseuploads/articles/MindControl.pdf DARPA Wants to Recycle Space Junk Into New Satellites - http://www.space.com/13339-darpa-space-junk-recycling-phoenix-satellites.html DARPA network shields against space junk - https://fcw.com/articles/2016/06/30/darpa-space-junk.aspx DARPA to Transfer Advanced Space Debris Telescope to Air Force - https://www.defense.gov/News/Article/Article/976146/darpa-to-transfer-advanced-space-debris-telescope-to-air-force Preparing the Nation for Space Weather: New Executive Order - https://obamawhitehouse.archives.gov/blog/2016/10/12/preparing-nation-space-weather-new-executive-order Bell Telephone Laboratories, Inc. List of Significant Innovations & Discoveries (1925-1983) - http://ethw.org/Bell_Telephone_Laboratories,_Inc._List_of_Significant_Innovations_%26_Discoveries_(1925-1983) NGA: The Massive Spy Agency You Haven’t Heard Of - http://theantimedia.org/agency-dangerous-nsa/ Zbigniew Brzezinski - https://en.wikiquote.org/wiki/Zbigniew_Brzezinski 21st C Cures Act: SURVEILLANCE OF NEUROLOGICAL DISEASES. - https://www.congress.gov/bill/114th-congress/house-bill/34/text#toc-HA66D8C981083480B9786B394D6278002 Soviet Union vied with US in ‘mind control research’ - https://www.rt.com/news/psychotronic-arms-soviet-weapon-379/ Microwaves in the cold war: the Moscow embassy study and its interpretation. Review of a retrospective cohort study - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3509929/ The Voice of God Weapon Returns | WIRED - https://www.wired.com/2007/12/the-voice-of-go A Voice Only You Can Hear: DARPA's Sonic Projector | WIRED - https://www.wired.com/2007/06/darpas_sonic_pr/ US Radio Spectrum Frequency Allocation - https://upload.wikimedia.org/wikipedia/commons/4/45/United_States_Frequency_Allocations_Chart_2003_-_The_Radio_Spectrum.jpg Human Tracking and Activity Monitoring using 60 GHz mmWave - http://www.phpathak.com/files/ipsn-mmwave.pdf Biological Effects of Microwaves by John Michael Williams - https://arxiv.org/ftp/physics/papers/0102/0102007.pdf The axolotl limb blastema - https://goo.gl/8vKuaJ CIA secret weapon of assassination Heart Attack Gun - https://www.youtube.com/watch?v=BSEnurBApdM Biological Effects of Microwave Radiation - https://link.springer.com/chapter/10.1007%2F978-1-4615-4867-6_35 Putin targets foes with 'zombie' gun which attack victims' central nervous system - http://www.dailymail.co.uk/news/article-2123415/Putin-targets-foes-zombie-gun-attack-victims-central-nervous-system.html Are We Ready for the Russian Zombie Gun? - https://www.forbes.com/sites/daviddisalvo/2012/04/04/are-we-ready-for-the-russian-zombie-gun/#5f1070f17a81 Air Force awards $40 million for electromagnetic research - https://defensesystems.com/articles/2014/09/26/air-force-electromagnetic-research.aspx RaDiAEM - https://govtribe.com/project/research-and-development-in-antenna-and-electromagnetic-technology-radiaem FCC's Spectrum Auction Finally Ending This Week - http://www.broadcastingcable.com/news/washington/fccs-spectrum-auction-finally-ending-week/164401 New DARPA Grand Challenge to Focus on Spectrum Collaboration - http://www.darpa.mil/news-events/2016-03-23 US Air Force wants to plasma bomb the sky using tiny satellites - https://www.newscientist.com/article/2100382-us-air-force-wants-to-plasma-bomb-the-sky-using-tiny-satellites/ The orbital internet: Could fleets of CubeSats bring global web access? - http://www.techradar.com/news/internet/the-orbital-internet-could-fleets-of-cubesats-bring-global-web-access-1313209 LASER WEAPON SYSTEM CHIEF ENGINEER | THE PHOTONICS GROUP - http://www.optics.arizona.edu/about/staff/departments/hr/job-listing/laser-weapon-system-chief-engineer-photonics-group Directed energy weapons making a great leap forward - https://defensesystems.com/articles/2016/06/30/shattuck-directed-energy-great-leap-forward.aspx When Seeing and Hearing Isn't Believing - http://www.washingtonpost.com/wp-srv/national/dotmil/arkin020199.htm UCY.TV email: [email protected] Real news, for the people, by the people. FAIR USE NOTICE: This video may contain copyrighted material. Such material is made available for educational purposes only.This constitutes a 'fair use' of any such copyrighted material as provided for in Title 17 U.S.C.section 106A - 117 of the U.S.Copyright Law.
Views: 71 UCYTV
Study With The Best: Hurricane Sandy: Moving Forward
 
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This episode of Study With the Best begins with a look back at a Science and U story, forecasting a super storm like Sandy, that aired almost two years ago. Following that, CUNY professors join the round-table to discuss why and how Sandy was so disastrous; what responses worked, and which didn't; and finally what steps can be taken, in the short and long term, to address new storms, both environmentally and financially. Hillary Brown is Professor of Architecture at the Spitzer School of Architecture at City College and directs the school's MS in Sustainability. She was recently appointed to the National Academies' Board on Infrastructure and the Constructed Environment. She is an expert in sustainability in urban environments. Dr. William J. Fritz is the Interim President and Professor of Geology at The City University of New York's College o f Staten Island. He is the author of two texts on geology and the popular book "Roadside Geology of Yellowstone Country." He recently presented a paper entitled "Storm Surge Model for New York, Connecticut, and Northern Waters of New Jersey with Special Emphasis on New York Harbor" at the 2012 Geological Society of America's Annual Meeting. He is an expert on natural disasters. Catherine Seavitt is an Associate Professor of Landscape Architecture at the Spitzer School of Architecture at City College. Professor Seavitt co-wrote the book "On the Water: Palisade Bay." which is an infrastructural study and climate adaptation proposal for New York Harbor given the effects of sea level rise. This book inspired an exhibition at MOMA entitled Rising Currents: Projects for New York's Waterfront in 2010. Taped: 11-25-12 Study With the Best, CUNY TV 's popular monthly television magazine, is designed to communicate with a college-bound audience. The series highlights the rewards of a college education, the challenges, the fun, and the excitement of student life on CUNY campuses. Information is provided throughout each program about financial aid, admissions and academic programs. The segments are fresh, fast-paced, and lively, an exciting mix of information and visual effects. Watch more Study With the Best at www.cuny.tv/show/studywiththebest
Views: 499 cunytv75
High-precision pointing on large wall displays using small handheld devices
 
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Full Title: High-precision pointing on large wall displays using small handheld devices Authors: Mathieu Nancel, Olivier Chapuis, Emmanuel Pietriga, Xing-Dong Yang, Pourang P. Irani, Michel Beaudouin-Lafon Abstract: Rich interaction with high-resolution wall displays is not limited to remotely pointing at targets. Other relevant types of interaction include virtual navigation, text entry, and direct manipulation of control widgets. However, most techniques for remotely acquiring targets with high precision have studied remote pointing in isolation, focusing on pointing efficiency and ignoring the need to support these other types of interaction. We investigate high-precision pointing techniques capable of acquiring targets as small as 4 millimeters on a 5.5 meters wide display while leaving up to 93 % of a typical tablet device's screen space available for task-specific widgets. We compare these techniques to state-of-the-art distant pointing techniques and show that two of our techniques, a purely relative one and one that uses head orientation, perform as well or better than the best pointing-only input techniques while using a fraction of the interaction resources. URL: http://dl.acm.org/citation.cfm?id=2470773 DOI: http://dx.doi.org/10.1145/2470654.2470773
Microsoft Build 2019 - LIVE Stream - Day 2 (May 7)
 
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To watch more sessions and ask questions live on air head over to https://aka.ms/MicrosoftBuildLive
Views: 15419 Microsoft Developer
मार्केटिंग क्या है? (Marketing Kya Hai-Marketing in Hindi) by Dr Vijay Prakash Anand
 
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#Marketing #WhatisMarketing #MarketingManagement #MarketingByVIjay "MARKETING MANAGEMENT MASTERCLASS" Course Link and Discount Code: https://www.udemy.com/marketing-management-masterclass/?couponCode=MARKETINGYT मार्केटिंग क्या है? (What is Marketing in Hindi) : 'मार्केटिंग बाय विजय' यूट्यूब चैनल में आपका स्वागत है. मार्केटिंग में सबसे पहला प्रश्न जो दिमाग में आता है - मार्केटिंग क्या है?; उसका उत्तर इस पहले हिंदी वीडियो में आपको मिलेगा. कृपया इसे लाइक करे और चैनल को सब्सक्राइब करे. चैनल को बेहतर बनाने के लिए आपके कमैंट्स और फीडबैक का हमें इंतज़ार है. ................................................................................................ Web: www.marketingbyvijay.com Check out my blog: https://marketingbyvijay.wordpress.com/ Like my Facebook Page: https://www.facebook.com/marketingbyvijay Please send your queries, feedback and suggestions on [email protected]
Views: 466794 Marketing by Vijay
K Camp - Comfortable (Official Video)
 
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Check out the official music video for "Comfortable" by K Camp K Camp’s debut album “Only Way Is Up” Available NOW iTunes Deluxe Explicit: http://smarturl.it/KCampOWIUdlxEX Google Play Standard Explicit: http://smarturl.it/KCampOWIUstdEXgp Google Play Standard Clean : http://smarturl.it/KCampOWIUstdEDgp Google Play Explicit Deluxe: http://smarturl.it/KCampOWIUdlxEXgp Google Play Clean Deluxe: http://smarturl.it/KCampOWIUdlxEDgp http://kcamp427.com http://twitter.com/twitter.com/kcamp427 http://facebook.com/kcamp427 http://instagram.com/kcamp427 http://vevo.ly/h1MhCH #KCamp #Comfortable #Vevo #HipHop #VevoOfficial
Views: 64146631 KCampVEVO
NW-NLP 2018: Ben Taskar Invited Talk; Learning and Reasoning about the World using Language
 
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The fifth Pacific Northwest Regional Natural Language Processing Workshop will be held on Friday, April 27, 2018, in Redmond, WA. We accepted abstracts and papers on all aspects of natural language text and speech processing, computational linguistics, and human language technologies. As with past four workshops, the goal of this one-day NW-NLP event is to provide a less-formal setting in the Pacific Northwest to present research ideas, make new acquaintances, and learn about the breadth of exciting work currently being pursued in North-West area. Ben Taskar Invited Talk Title: Learning and Reasoning about the World using Language Invited Speaker: Yejin Choi Understanding a narrative often requires reading between the lines, which in turn, requires rich background knowledge about how the world works. However, learning and reasoning about the obvious, but unspoken facts about the world is nontrivial, as people rarely state the obvious, e.g., "my house is bigger than me." In this talk, I will discuss how we can reverse engineer aspects of commonsense knowledge—ranging from Naive Physics type knowledge to more abstract social commonsense—from how people use language. I will then discuss neural network architectures that can provide structural priors to understand the latent process underlying a procedural text through (neural) simulation of action dynamics. I will conclude the talk by discussing the challenges in current models and formalisms, pointing to avenues for future research. Afternoon Talks Title: Annotation Artifacts in Natural Language Inference Data Speakers: Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman and Noah Smith Title: Simulating Action Dynamics with Neural Process Networks Speakers: Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox and Yejin Choi For more information, schedule, abstracts, etc, please visit the website: https://sites.google.com/view/nwnlp18/home
Views: 3097 Microsoft Research
Lecture 16 - How to Run a User Interview (Emmett Shear)
 
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Lecture Transcript: http://tech.genius.com/Emmett-shear-lecture-16-how-to-run-a-user-interview-annotated Building product, and talking to users. In the early stages of your startup, those are the two things you should focus on. In this lecture, Emmett Shear, Founder and CEO of Justin.tv and Twitch, covers the latter. What can you learn by talking to users that you can’t learn by looking at data? What questions should you ask? How can user interviews define or redefine your product goals? See the slides and readings at startupclass.samaltman.com/courses/lec16/ Discuss this lecture: https://startupclass.co/courses/how-to-start-a-startup/lectures/64045 This video is under Creative Commons license: http://creativecommons.org/licenses/by-nc-nd/2.5/
Views: 89748 How to Start a Startup
Algorithmic Justice: Race, Bias, and Big Data
 
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Data are not objective; algorithms have biases; machine learning doesn’t produce truth. These realities have uneven effects on people’s lives, often serving to reinforce existing systemic biases and social inequalities. At the same time, data can be used in the service of social justice, and taking control of the data produced about people and its use is more and more important in our data-centric world. Speakers will discuss algorithms, race, and justice–the problems and the possibilities. Presentations by: 3:06 Meredith Broussard, Assistant Professor of Journalism, Arthur L. Carter Journalism Institute, New York University 19:55 Yeshimabeit Milner ’12, Founder and Executive Director, Data for Black Lives 34:00 Virginia Eubanks, Associate Professor of Political Science, University of Albany, SUNY 57:10 Samuel Sinyangwe, Co-Founder, Mapping Police Violence and Campaign Zero 1:19:37 Max Clermont ’11, MPH ’12, Co-founder, Head of Policy, Data for Black Lives Hosted by the Data Science Initiative and the Center for the Study of Race and Ethnicity in America at Brown University. Wednesday, February 20, 2019 Brown University
Views: 189 Brown University
Intelligent Edge
 
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Edge computing is a natural evolution of cloud computing, where server resources, ranging from a credit-card size computers to micro data centers, are placed closer to data and information generation sources. Application and system developers use these resources to enable a new class of latency- and bandwidth-sensitive applications that are not realizable with current mega-scale cloud computing architectures. Industries, ranging from manufacturing to healthcare, are eager to develop real-time control systems that use machine learning and artificial intelligence to improve efficiencies and reduce cost and the Intelligent Edge is in the center of it all. In this session, we will explore this new computing paradigm by discussing emerging challenges, technologies, and future business impact. See more at https://www.microsoft.com/en-us/research/video/intelligent-edge/
Views: 2628 Microsoft Research
Panel Discussion: Ai-Perception and Applications
 
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The Academic Research Summit, co-organized by Microsoft Research and the Association for Computing Machinery, is a forum to foster meaningful discussion among the Indian computer science research community and raise the bar on research efforts. The third edition of Academic Research Summit was held at the International Institute of Information Technology (IIIT) Hyderabad on the 24th and 25th of January 2018. The agenda included keynotes and talks from distinguished researchers from India and across the world. The summit also had sessions focused on specific topics related to the theme of Artificial Intelligence: A Future with AI. More talks at: https://www.youtube.com/playlist?list=PLD7HFcN7LXRcBpyp34moH_-dVJTX7bXxW
Views: 1402 Microsoft Research
Lecture 6 - Growth (Alex Schultz)
 
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Lecture Transcript: http://tech.genius.com/Alex-schultz-lecture-6-growth-annotated Alex Schultz gives an overview of Growth for startups, speaking from a position of authority as the VP of Growth at Facebook. View the readings Alex refers to, his slide deck, at http://startupclass.samaltman.com/courses/lec06/ Discuss this lecture: https://startupclass.co/courses/how-to-start-a-startup/lectures/64035 This video is under Creative Commons license: http://creativecommons.org/licenses/by-nc-nd/2.5/
Views: 250829 How to Start a Startup
Lecture 8: Recurrent Neural Networks and Language Models
 
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Lecture 8 covers traditional language models, RNNs, and RNN language models. Also reviewed are important training problems and tricks, RNNs for other sequence tasks, and bidirectional and deep RNNs. ------------------------------------------------------------------------------- Natural Language Processing with Deep Learning Instructors: - Chris Manning - Richard Socher Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component. For additional learning opportunities please visit: http://stanfordonline.stanford.edu/
Lecture 10: Neural Machine Translation and Models with Attention
 
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Lecture 10 introduces translation, machine translation, and neural machine translation. Google's new NMT is highlighted followed by sequence models with attention as well as sequence model decoders. ------------------------------------------------------------------------------- Natural Language Processing with Deep Learning Instructors: - Chris Manning - Richard Socher Natural language processing (NLP) deals with the key artificial intelligence technology of understanding complex human language communication. This lecture series provides a thorough introduction to the cutting-edge research in deep learning applied to NLP, an approach that has recently obtained very high performance across many different NLP tasks including question answering and machine translation. It emphasizes how to implement, train, debug, visualize, and design neural network models, covering the main technologies of word vectors, feed-forward models, recurrent neural networks, recursive neural networks, convolutional neural networks, and recent models involving a memory component. For additional learning opportunities please visit: http://stanfordonline.stanford.edu/
1. Introduction to Statistics
 
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*NOTE: This video was recorded in Fall 2017. The rest of the lectures were recorded in Fall 2016, but video of Lecture 1 was not available. MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: https://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about the importance of the mathematical theory behind statistical methods and built a mathematical model to understand the accuracy of the statistical procedure. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Views: 367898 MIT OpenCourseWare
Knowledge Graphs: The Power of Graph-Based Search
 
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Learn all about knowledge graphs, how to use them in Neo4j, and how to enrich them with natural language processing, Cypher, and inferencing. Dr. Petra Selmer, Query Languages Standards and Research Group, Neo4j #KnowledgeGraphs #NLP #Cypher
Views: 1421 Neo4j