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| − | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS | + | |keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools |
| − | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | + | |
| | + | <!-- Google tag (gtag.js) --> |
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| − | [http://www.youtube.com/results?search_query=artificial+intelligence+today+ YouTube search...] | + | [https://www.youtube.com/results?search_query=artificial+intelligence+machine+learning+today+AI YouTube] |
| − | [http://www.google.com/search?q=artificial+intelligence+today+current+deep+machine+learning+ML ...Google search] | + | [https://www.quora.com/search?q=today%20artificial%20intelligence%20AI%20machine%20learning ... Quora] |
| | + | [https://www.google.com/search?q=artificial+intelligence+machine+learning+today+AI ...Google search] |
| | + | [https://news.google.com/search?q=artificial+intelligence+machine+learning+today+AI ...Google News] |
| | + | [https://www.bing.com/news/search?q=artificial+intelligence+machine+learning+today+AI&qft=interval%3d%228%22 ...Bing News] |
| | + | |
| | + | |
| | + | <b>>>>></b>[[Journalism#AI in the News|<i> Click here for 'AI in the News'</i>]] |
| | + | |
| | + | |
| | + | * [[ChatGPT]] | [[OpenAI]] ... interacts in a conversational way; the dialogue format makes it possible for [[ChatGPT]] to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. |
| | + | ** [[Large Language Model (LLM)#Multimodal|Multimodal Language Model]]s ... Generative Pre-trained Transformer ([[GPT-4]]) ... [[GPT-5]] |
| | + | * [[Video/Image#Stable Diffusion | Stable Diffusion]] | [[Stability AI]] ... text-to-image [[Diffusion|diffusion]] model capable of generating photo-realistic images |
| | + | * [https://elevenlabs.io/ Eleven Labs] ... [[Synthesize Speech|brings lifelike voices for storytelling]] |
| | + | <hr> |
| | | | |
| − | * [[Capabilities]]
| |
| − | * [[Case Studies]]
| |
| − | ** [[Government Services]]
| |
| | | | |
| − | * [http://www.forbes.com/sites/tomtaulli/2019/12/07/this-years-ai-artificial-intelligence-breakthroughs/#231ca0756921 This Year’s AI (Artificial Intelligence) Breakthroughs | Tom Taulli - Forbes] | + | * [[Immersive Reality]] ... [[Metaverse]] ... [[Omniverse]] ... [[Transhumanism]] ... [[Religion]] |
| − | * [http://www.stateof.ai/ State of AI Report 2019 | Nathan Benaich and Ian Hogarth] | + | * [[Theory-free Science]] |
| − | * [http://aiindex.org/ Artificial Intelligence Index | Stanford AI Lab (SAIL)]
| + | * [[Humor]] |
| − | * [http://aiexperiments.withgoogle.com Google AI Experiment Lab] | + | * [https://www.forbes.com/sites/tomtaulli/2019/12/07/this-years-ai-artificial-intelligence-breakthroughs/#231ca0756921 This Year’s AI (Artificial Intelligence) Breakthroughs | Tom Taulli - Forbes] |
| − | * [http://medium.com/imlyra/a-list-of-artificial-intelligence-tools-you-can-use-today-for-personal-use-1-3-7f1b60b6c94f Tools for Personal Use] | + | * [https://aiindex.org/ Artificial Intelligence Index | Stanford AI Lab (SAIL)] |
| − | * [http://medium.com/imlyra/a-list-of-artificial-intelligence-tools-you-can-use-today-for-businesses-2-3-eea3ac374835 Tools for Business use — Enterprise Intelligence] | + | * [https://aiexperiments.withgoogle.com Google AI Experiment Lab] |
| − | * [http://medium.com/imlyra/a-list-of-artificial-intelligence-tools-you-can-use-today-for-businesses-2-3-continued-21bf14280250 Tools for Business use — Enterprise Functions] | + | * [https://medium.com/imlyra/a-list-of-artificial-intelligence-tools-you-can-use-today-for-personal-use-1-3-7f1b60b6c94f Tools for Personal Use] |
| − | * [http://hbr.org/2018/01/artificial-intelligence-for-the-real-world Artificial Intelligence for the Real World | Harvard Business Review] | + | * [https://medium.com/imlyra/a-list-of-artificial-intelligence-tools-you-can-use-today-for-businesses-2-3-eea3ac374835 Tools for Business use — Enterprise Intelligence] |
| − | * [http://en.wikipedia.org/wiki/List_of_artificial_intelligence_projects List of Artificial Intelligence projects | Wikipedia] | + | * [https://medium.com/imlyra/a-list-of-artificial-intelligence-tools-you-can-use-today-for-businesses-2-3-continued-21bf14280250 Tools for Business use — Enterprise Functions] |
| | + | * [https://hbr.org/2018/01/artificial-intelligence-for-the-real-world Artificial Intelligence for the Real World | Harvard Business Review] |
| | + | * [https://www.stateof.ai/ State of AI Report | Nathan Benaich and Ian Hogarth] |
| | + | * [https://en.wikipedia.org/wiki/List_of_artificial_intelligence_projects List of Artificial Intelligence projects | Wikipedia] |
| | + | * [https://spectrum.ieee.org/artificial-intelligence-index 12 Graphs That Explain the State of AI in 2022 | Eliza Strickland - IEEE Spectrum]... The 2022 AI Index talks jobs, investments, ethics, and more |
| | + | * [[Google]] DeepMind's [[Gato]] |
| | + | * [https://medium.com/intuitionmachine/the-many-doctrines-of-agi-research-af6d37feca47 A Map of Doctrines in AGI Research | Carlos E. Perez - Medium] |
| | + | * [https://futuretodayinstitute.com/ Future Today Institute] |
| | | | |
| | | | |
| − | = Staying ahead of AI =
| |
| − | * Artificial intelligence in the [[News]]...
| |
| − | ** [http://news.google.com/topics/CAAqBwgKMPLK9QowxsXcAg/sections/CAQqEAgAKgcICjDyyvUKMMbF3AIwtOTwBQ Google News]
| |
| − | ** [http://aitopics.org/class/AI-Alerts Newsfinder |] [http://aaai.org/ The Association for the Advancement of Artificial Intelligence (AAAI)]
| |
| − | ** [http://aiartists.org/ai-newsletters Top 25 AI Newsletters | AIArtists.org]
| |
| − | ** [http://allainews.com/ All AI News]
| |
| − | ** [http://mc.ai/ MC.AI] collects interesting articles and news about artificial intelligence and related areas
| |
| − | * YouTube Channels
| |
| − | ** [http://www.youtube.com/c/K%C3%A1rolyZsolnai Two Minute Papers | Károly Zsolnai-Fehér]
| |
| − | ** [http://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw 3Blue1Brown | Grant Sanderson]
| |
| − | ** [http://www.youtube.com/playlist?list=PLqFaTIg4myu8t5ycqvp7I07jTjol3RCl9 Kaggle Reading Group]
| |
| − | ** [http://www.youtube.com/user/lexfridman Channel] [[Creatives#Lex Fridman|Lex Fridman]]
| |
| − | ** [http://www.youtube.com/channel/UCNIkB2IeJ-6AmZv7bQ1oBYg Arxiv Insights | Xander Steenbrugge]
| |
| − | ** [http://www.youtube.com/channel/UCZHmQk67mSJgfCCTn7xBfew Yannic Kilcher]
| |
| − | ** [http://www.youtube.com/channel/UC-YAxUbpa1hvRyfJBKFNcJA Leo Isikdogan]
| |
| − | ** [http://www.youtube.com/channel/UCxxisInVr7upxv1yUhSgdBA The Alberta Machine Intelligence Institute (Amii)]
| |
| − | ** [http://www.youtube.com/user/SimonsInstitute Simons Institute]
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| | | | |
| | + | <hr><center><b><i> |
| | + | |
| | + | [https://theresanaiforthat.com/ "There is an AI for That"] </i> - [[Generative AI]] |
| | + | |
| | + | </b></center><hr> |
| | + | |
| | + | |
| | + | = AI Engineer Summit 2023 = |
| | + | * [https://www.ai.engineer/summit/schedule Schedule] |
| | + | <youtube>veShHxQYPzo</youtube> |
| | + | <youtube>qw4PrtyvJI0</youtube> |
| | + | |
| | + | = Where are we now? = |
| | + | <youtube>lgwrRn1uHkg</youtube> |
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| − | <youtube>C5G56N2AnQs</youtube> | + | <youtube>sTCuoqOb2xE</youtube> |
| − | <b>How to keep up with AI research? | + | <b>How AI and the Metaverse will Shape Society with Ian Beacraft | SXSW 2023 |
| − | </b><br>AI is a one of the fastest progressing fields. 1000s of papers released every month, So how do we keep up? SUBSCRIBE to Code Emporium: http://www.youtube.com/c/CodeEmporium | + | </b><br>Generative AI is digitizing skillsets, making them programmable and upgradeable. As a result, a new class of Generalists will dominate the era of generative AI. As expertise and experience are no longer needed to perform with proficiency in new fields, those with a breadth of experience and passionate curiosity will rise to the top. With AI, individual creators can become armies of one. |
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| + | This will flip the corporate world on its head and is already disrupting training and education. Socratic learning with ChatGPT and performing surgery in VR are just the beginning. The combination of AI and Extended reality will bring about the return of the apprenticeship, where our teachers are machines. |
| | | | |
| − | = Where are we now? =
| + | Even our relationships will change. In a time where our behaviors are guided by algorithms, and humans become more machine-like, machines are becoming more human. AI companions provoke emotions and elicit feelings of romance, while children are less concerned with whether their friends are real or synthetic. |
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| + | This isn't the future. This is happening today. We’ll explore what these trends mean now and for the decades to come. |
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| − | <youtube>0jspaMLxBig</youtube>
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| − | <b>[[Creatives#Andrew Ng|Andrew Ng]]: Deep Learning, Education, and Real-World AI | [[Creatives#Lex Fridman|Lex Fridman]] Podcast #73
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| − | </b><br>[[Creatives#Andrew Ng|Andrew Ng]] is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and [[Google]] Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. As a Stanford professor, and with Coursera and deeplearning.ai, he has helped educate and inspire millions of students including me.
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| − | <youtube>NKpuX_yzdYs</youtube> | + | <youtube>-0dk3CK5qSQ</youtube> |
| − | <b>Andrew Ng - The State of Artificial Intelligence | + | <b>Ray Perrault: Presenting the 2023 AI Index |
| − | </b><br>Dec 15, 2017 Professor [[Creatives#Andrew Ng|Andrew Ng]] is the former chief scientist at Baidu, where he led the company's Artificial Intelligence Group. He is an adjunct professor at Stanford University. In 2011 he led the development of Stanford University’s main MOOC (Massive Open Online Courses) platform and also taught an online Machine Learning class that was offered to over 100,000 students, leading to the founding of Coursera. | + | </b><br>The AI Index, currently in its sixth year, tracks, collates, distills, and visualizes data relating to artificial intelligence. The AI Index provides unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI. Led by a Steering Committee of influential AI thought leaders, the AI Index is the world’s most comprehensive report on trends in AI. The 2023 report will cover AI trends related to research and [[development]], technical performance, technical AI ethics, economy, education, policy and governance, diversity as well as public opinion. |
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| − | <youtube>JRGkAM2_cvA</youtube> | + | <youtube>Rp3A5q9L_bg</youtube> |
| − | <b>Top 10 Interesting Artificial Intelligence (AI) Projects and Use cases | + | <b>9 New AI Tools That Will BLOW YOUR MIND (Must See) |
| − | </b><br>Data Science and AI for Kids If you like your kids to get a great toy to learn how to learn logic and code try this http://amzn.to/2Vh2uhh This is happening right now. These are unusual but interesting use cases of Artificial Intelligence (AI) applications. The technology is used in almost all areas of our life. I can't think of any area where AI is not going to affect our lives. If you have an idea where AI is not going to affect, please post your comments here. For courses for kids on Data Science and AI go here : http://www.Pathway.ai | + | </b><br>Greg Brockman, President and Co-Founder of @[[OpenAI]], joins Alexandr Wang, CEO and Founder of Scale, to discuss the role of foundation models like GPT-3 and [https://openai.com/dall-e-2/ DALL·E] 2 in research and in the enterprise. Foundation models make it possible to replace task-specific models with those that are generalized in nature and can be used for different tasks with minimal [[fine-tuning]]. |
| | + | |
| | + | In January 2021, [[OpenAI]] introduced [https://openai.com/dall-e-2/ DALL·E], a text-to-image generation program. One year later, it introduced [https://openai.com/dall-e-2/ DALL·E] 2, which generates more realistic, accurate, lower-latency images with four times greater resolution than its predecessor. At the same time, it released InstructGPT, a large language model (LLM) explicitly designed to follow instructions. InstructGPT makes it practical to leverage the [[OpenAI]] API to revise existing content, such as rewriting a paragraph of text or refactoring code. |
| | + | |
| | + | Before creating [[OpenAI]], Brockman was the CTO of Stripe, which he helped build from four to 250 employees. Watch this talk to learn how foundation models can help businesses benefit from applications that they can create more quickly than with past generations of AI tools. |
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| − | <youtube>0VH1Lim8gL8</youtube> | + | <youtube>WHoWGNQRXb0</youtube> |
| − | <b>Deep Learning State of the Art (2020) | MIT Deep Learning Series | + | <b>[[OpenAI]] CEO Sam Altman | AI for the Next Era |
| − | </b><br>[[Creatives#Lex Fridman|Lex Fridman]] Lecture on most recent research and developments in deep learning, and hopes for 2020. This is not intended to be a list of SOTA benchmark results, but rather a set of highlights of machine learning and AI innovations and progress in academia, industry, and society in general. This lecture is part of the MIT Deep Learning Lecture Series. Website: https://deeplearning.mit.edu | + | </b><br>Greylock general partner Reid Hoffman interviews [[OpenAI]] CEO Sam Altman. The AI research and deployment company's primary mission is to develop and promote AI technology that benefits humanity. Founded in 2015, the company has most recently been noted for its generative transformer model GPT - 3, which uses deep learning to produce human-like text, and its image-creation platform [https://openai.com/dall-e-2/ DALL·E]. |
| − | Slides: http://bit.ly/2QEfbAm References: http://bit.ly/deeplearn-sota-2020 Playlist: http://bit.ly/deep-learning-playlist CONNECT: - If you enjoyed this video, please subscribe to this channel. - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman
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| − | <youtube>FlgLxSLsYWQ</youtube> | + | <youtube>J_wuLcTShQU</youtube> |
| − | <b>The Next Leap: How A.I. will change the 3D industry - Andrew Price | + | <b>9 New AI Tools That Will BLOW YOUR MIND (Must See) |
| − | </b><br>Blender Conference 2018 - Thursday 25 October at the Theater. Support Blender by joining the Development Fund https://fund.blender.org/ | + | </b><br>I show you 9 Epic Ai Tools and websites that you need to try. Everyone is talking about artificial intelligence since the launch of ChatGPT...So I've found 9 more mind blowing ai tools to make you super human. |
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| − | <youtube>6SWpN64Ivb4</youtube> | + | <youtube>QhRLsssQoeM</youtube> |
| − | <b>Artificial Intelligence in 2020 | + | <b>The 5 Biggest Artificial Intelligence (AI) Trends In 2023 Everyone Must Get Ready For Now |
| − | </b><br>This video recaps developments in AI from 2019! Happy New Year! | + | </b><br>In this video, we look at the five biggest trends in the field of AI and machine learning for 2023: |
| | + | 1. The continuous democratisation of AI via apps, AIaaS and no-code environments |
| | + | 2. The emergence of powerful [[Generative AI]] platforms |
| | + | 3. Further push towards fair, ethical and explainable AI |
| | + | 4. Working alongside AIs and job augmentation. |
| | + | 5. Sustainable AI |
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| − | <youtube>HcStlHGpjN8</youtube> | + | <youtube>0jspaMLxBig</youtube> |
| − | <b>Jeff Dean’s Lecture for YC AI | + | <b>[[Creatives#Andrew Ng|Andrew Ng]]: Deep Learning, Education, and Real-World AI | [[Creatives#Lex Fridman|Lex Fridman]] Podcast #73 |
| − | </b><br>Jeff Dean is a Google Senior Fellow in the Research Group, where he leads the [[Google]] Brain project. | + | </b><br>[[Creatives#Andrew Ng|Andrew Ng]] is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and [[Google]] Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. As a Stanford professor, and with Coursera and deeplearning.ai, he has helped educate and inspire millions of students including me. |
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| − | <youtube>i9MfT_7R_4w</youtube> | + | <youtube>NKpuX_yzdYs</youtube> |
| − | <b>Top 5 Uses of Neural Networks! (A.I.) | + | <b>Andrew Ng - The State of Artificial Intelligence |
| − | </b><br>Hi, welcome to ColdFusion. Experience the cutting edge of the world around us in a fun relaxed atmosphere. | + | </b><br>Dec 15, 2017 Professor [[Creatives#Andrew Ng|Andrew Ng]] is the former chief scientist at Baidu, where he led the company's Artificial Intelligence Group. He is an adjunct professor at Stanford University. In 2011 he led the [[development]] of Stanford University’s main MOOC (Massive Open Online Courses) platform and also taught an online Machine Learning class that was offered to over 100,000 students, leading to the founding of Coursera. |
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| − | <b>Machine Learning: Living in the Age of AI | A WIRED Film
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| − | </b><br>“Machine Learning: Living in the Age of AI,” examines the extraordinary ways in which people are interacting with AI today. Hobbyists and teenagers are now developing tech powered by machine learning and WIRED shows the impacts of AI on schoolchildren and farmers and senior citizens, as well as looking at the implications that rapidly accelerating technology can have. The film was directed by filmmaker Chris Cannucciari, produced by WIRED, and supported by McCann Worldgroup.
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| − | <b>Use Cases - Ep. 12 (Deep Learning SIMPLIFIED)
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| − | </b><br>Despite its popularity, machine vision is not the only Deep Learning application. Deep nets have started to take over text processing as well, beating every traditional method in terms of accuracy. They also are used extensively for cancer detection and medical imaging. When a data set has highly complex patterns, deep nets tend to be the optimal choice of model.
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| − | Demo URLs
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| − | Clarifai - http://www.clarifai.com
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| − | Metamind - https://www.metamind.io/language/twitter
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| − | As we have previously discussed, Deep Learning is used in many areas of machine vision. Facebook uses deep nets to detect faces from different angles, and the startup Clarifai uses these nets for object recognition. Other applications include scene parsing and vehicular vision for driverless cars.
| + | <youtube>x8IjmLLvX4I</youtube> |
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| − | |}<!-- B --> | + | = Staying ahead of AI = |
| | + | * Artificial intelligence in the [[Journalism|News]]... |
| | + | ** [[Papers Search]] |
| | + | ** [https://news.google.com/topics/CAAqBwgKMPLK9QowxsXcAg/sections/CAQqEAgAKgcICjDyyvUKMMbF3AIwtOTwBQ Google News] |
| | + | ** [https://aitopics.org/class/AI-Alerts Newsfinder |] [https://aaai.org/ The Association for the Advancement of Artificial Intelligence (AAAI)] |
| | + | ** [https://aiartists.org/ai-newsletters Top 25 AI Newsletters | AIArtists.org] |
| | + | ** [https://allainews.com/ All AI News] |
| | + | ** [https://mc.ai/ MC.AI] collects interesting articles and news about artificial intelligence and related areas |
| | + | * YouTube Channels |
| | + | ** [https://www.youtube.com/c/K%C3%A1rolyZsolnai Two Minute Papers |] [[Creatives#Károly Zsolnai-Fehér|Károly Zsolnai-Fehér]] |
| | + | ** [https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw 3Blue1Brown | Grant Sanderson] |
| | + | ** [https://www.youtube.com/playlist?list=PLqFaTIg4myu8t5ycqvp7I07jTjol3RCl9 Kaggle Reading Group] |
| | + | ** [https://www.youtube.com/user/lexfridman Channel] [[Creatives#Lex Fridman|Lex Fridman]] |
| | + | ** [https://www.youtube.com/channel/UCNIkB2IeJ-6AmZv7bQ1oBYg Arxiv Insights | Xander Steenbrugge] |
| | + | ** [https://www.youtube.com/channel/UCZHmQk67mSJgfCCTn7xBfew Yannic Kilcher] |
| | + | ** [https://www.youtube.com/channel/UC-YAxUbpa1hvRyfJBKFNcJA Leo Isikdogan] |
| | + | ** [https://www.youtube.com/channel/UCxxisInVr7upxv1yUhSgdBA The Alberta Machine Intelligence Institute (Amii)] |
| | + | ** [https://www.youtube.com/user/SimonsInstitute Simons Institute] |
| | + | * Podcasts |
| | + | ** [https://twimlai.com/podcast/twimlai/ The TWIML AI Podcast | Sam Charrington] |
| | + | ** [https://www.google.com/search?q=artificial+intelligence+machine+learning+podcasts Google search: Artificial Intelligence podcasts] |
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| − | <youtube>t81QhHaMS7w</youtube> | + | <youtube>C5G56N2AnQs</youtube> |
| − | <b>Advances in machine learning and [[TensorFlow]] ([[Google]] I/O '18) | + | <b>How to keep up with AI research? |
| − | </b><br>Artificial intelligence affects more than just computer science. Join this session to hear a collection of short presentations from top machine learning researchers: the [[TensorFlow]] engineers working on robotics, and the Magenta team exploring the border between machine learning and art. | + | </b><br>AI is a one of the fastest progressing fields. 1000s of papers released every month, So how do we keep up? SUBSCRIBE to Code Emporium: https://www.youtube.com/c/CodeEmporium |
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| − | <b>[[Amazon|AWS]] Summit Singapore - Machine Learning in Practice
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| − | </b><br>With the launch of several new Machine Learning (ML) services on AWS, now is your chance to learn how to quickly apply ML to solve real-world business problems, no prior ML experience necessary. During this session, you will learn about vision services to analyze your images and video for facial comparison, object detection and detecting text ([[Amazon]] Rekognition and Amazon Rekognition Video), building conversational interfaces for chatbots (Amazon Lex), and core language services for converting audio to text ([[Amazon]] Transcribe), converting text to speech ([[Amazon]] Polly), identifying topics and themes in text ([[Amazon]] Comprehend) and translating between two languages ([[Amazon]] Translate). Speaker Steve Shirkey, Solutions Architect, ASEAN, [[Amazon|Amazon]]AWS
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| − | <youtube>mQO2PcEW9BY</youtube>
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| − | <b>A.I. is Progressing Faster Than You Think!
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| − | </b><br>Sergey Brin ColdFusion
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| − | <b>Prof. [Creatives#Yoshua Bengio|Yoshua Bengio]] - Deep learning & Backprop in the Brain
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| − | </b><br>[Creatives#Yoshua Bengio|Yoshua Bengio]] is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. [Creatives#Yoshua Bengio|Bengio]] received his Bachelor of Science, Master of Engineering and PhD from McGill University. Recorded: September 8, 2017
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| − | <b>Using Deep Learning to Extract Feature Data from Imagery
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| − | </b><br>Vector data collection is the most tedious task in a GIS workflow. Digitizing features from imagery or scanned maps is a manual process that is costly, requiring significant human resources to accomplish. Building footprint extraction from imagery provides an even more complex challenge due to shadows, tree overhang, and the complexity of roofs. Often times, this feature extraction work is performed by GIS analysts whose time would be better spent performing analysis and producing actionable reports for decision makers, rather than collecting data. Object detection is a particularly challenging task in computer vision. Today’s advanced deep neural networks (DNN) use algorithms, big data, and the computational power of the GPU to change this dynamic.
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| − | <youtube>0qVOUD76JOg</youtube> | + | <youtube>2936_Y80nUk</youtube> |
| − | <b>The art of neural networks | Mike Tyka | TEDxTUM | + | <b>ChatGPT-4 Unlocks Research Genius: The Tricks You Need to See! |
| − | </b><br>Did you know that art and technology can produce fascinating results when combined? Mike Tyka, who is both artist and computer scientist, talks about the power of neural networks. These algorithms are capable to transform computers into artists that can generate breathtaking paintings, music and even poetry. Dr. Mike Tyka studied Biochemistry and Biotechnology at the University of Bristol. He obtained his Ph.D. in Biophysics in 2007 and went on to work as a research fellow at the University of Washington, studying the structure and dynamics of protein molecules. In particular, he has been interested in protein folding and has been writing computer simulation software to better understand this fascinating process. In 2009, Mike and a team of artists created Groovik’s Cube, a 35 feet tall, functional, multi-player Rubik’s cube. Since then, he co-founded ATLSpace, an artist studio in Seattle and has been creating metal and glass sculptures of protein molecules. In 2013 Mike went to [[Google]] to study neural networks, both artificial and natural. This work naturally spilled over to his artistic interests, exploring the possibilities of artificial neural networks for creating art. | + | </b><br>In this video, I share with you how I use chat GPT-4 for research and the tricks that I have discovered. |
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| − | <b>Stanford Seminar - Artificial Intelligence: Current and Future Paradigms and Implications
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| − | </b><br>EE380: Computer Systems Colloquium Seminar Artificial Intelligence: Current and Future Paradigms and Implications Speaker: Scott Phoenix, Vicarious Artificial intelligence has advanced rapidly in the last five years. This talk intends to provide high-level answers to questions like: What can the evolution of intelligence in the animal kingdom teach us about the evolution of AI?
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| − | How should people who are not AI researchers view the societal transformation that is now underway? What are some of the social, economic, and political implications of this technology as it exists now? What will future AI systems likely be capable of, and what are the largest expected impacts of these systems? The talk will be understandable for non-computer scientists. About the Speaker:
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| − | Scott Phoenix is CEO and a founder of Vicarious, an AI research company building general intelligence for robots. Vicarious has received over $110 million in funding from pioneers like Mark Zuckerberg, Elon Musk, and Jeff Bezos. Prior to co-founding Vicarious, Mr. Phoenix was an entrepreneur-in-residence at Founders Fund. He earned his BAS in Computer Science and Entrepreneurship from the University of Pennsylvania.
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| − | <b>[[NVIDIA]]: Deep Learning - Extracting Maximum Knowledge from Big Data Using Big Compute
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| − | </b><br>Deep learning (DL) and AI are fundamentally changing the way data is used in computation. They are enabling computing capabilities that will transform almost every industry, scientific domain, and public usage of data and compute. The recent success of DL algorithms can be seen as the culmination of decades of progress in three areas: research in DL algorithms, broad availability of big data infrastructure, and the massive growth of computation power produced by Moore’s law and the advent of parallel compute architectures. A key advantage of deep learning is that you can use the same techniques for many applications, as compared to algorithms which are typically specific to a single area. In practice, deep learning has been employed successfully in such diverse areas as healthcare, transportation, industrial IoT, finance, entertainment, and retail, in addition to high-performance computing. Examples will illustrate how the approach works and how it complements high-performance data analytics and traditional business intelligence. Recorded: August 9th, 2017
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| − | <b>MIT Sloan: Intro to Machine Learning (in 360/VR)
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| − | </b><br>This is a guest talk for course 15.S14: Global Business of Artificial Intelligence and Robotics (GBAIR) taught in Spring 2017.
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| − | <b>[[TensorFlow]] Dev Summit 2019 Livestream
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| − | </b><br>#TFDevSummit brings together a diverse mix of machine learning users from around the world for two days of highly technical talks, demos, and conversation with the TensorFlow team and community.
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| − | <b>AI in 2020
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| − | </b><br>Almost exactly 4 years ago I decided to dedicate my life to helping educate the world on Artificial Intelligence. There were hardly any resources designed for absolute beginners and the field was dominated by PhDs. In 2020, thanks to the extraordinary contributions of everyone in this community, all that has changed. It’s easier than ever before to enter into this field, even without an IT background. We’ve seen brave entrepreneurs figure out how to deploy this technology to save lives (medical imaging, automated diagnosis) and accelerate Science (AlphaFold). We’ve seen algorithmic advances (deepfakes) and ethical controversies (automated surveillance) that shocked the world. The AI field is now a global, cross-cultural movement that's not limited to academics alone. And that’s something all of us should be proud of, we’re all apart of this. I’ve packed a lot into this episode! I’ll give my annual lists of the best ML language and libraries to learn this year, how to learn ML in 2020, as well as 8 predictions about where this field is headed. I had a lot of fun making this, so I hope you enjoy it!
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| − | <b>AI in 2040
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| − | </b><br>What does the field of Artificial Intelligence look like in 2040? It's a really hard question to answer since there are still so many unanswered questions about the nature of reality and computing. In this episode, I'll make my best predictions about AI hardware, AI software, and the societal impact of AI in 2040. We'll cover quantum mechanics, neuromorphic computing, DNA storage, decentralized computing, basic income, and mind-body machines. Enjoy!
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| | = Mass Communication = | | = Mass Communication = |
| − | * [http://www.cbsnews.com/news/60-minutes-ai-facial-and-emotional-recognition-how-one-man-is-advancing-artificial-intelligence/ Facial and emotional recognition; how one man is advancing artificial intelligence | Scott Pelley - 60 Minutes] | + | * [https://www.cbsnews.com/news/60-minutes-ai-facial-and-emotional-recognition-how-one-man-is-advancing-artificial-intelligence/ Facial and emotional recognition; how one man is advancing artificial intelligence | Scott Pelley - 60 Minutes] |
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| | <b>HAL 9000: "I'm sorry Dave, I'm afraid I can't do that" | | <b>HAL 9000: "I'm sorry Dave, I'm afraid I can't do that" |
| | </b><br>An excerpt from the 1968 film "2001: A Space Odyssey" directed by Stanley Kubrick. Synopsis: Mankind finds a mysterious, obviously artificial, artifact buried on the moon and, with the intelligent computer HAL, sets off on a quest, where the way the HAL 9000 super computer malfunctions. | | </b><br>An excerpt from the 1968 film "2001: A Space Odyssey" directed by Stanley Kubrick. Synopsis: Mankind finds a mysterious, obviously artificial, artifact buried on the moon and, with the intelligent computer HAL, sets off on a quest, where the way the HAL 9000 super computer malfunctions. |
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| − | = AI Outsmarted Humans =
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| − | * [[Defense#Dogfight|Dogfight]]
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| − | <b>5 Times A.I. Outsmarted Its Creators - The Medical Futurist
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| − | </b><br>There’s been a lot of fear about A.I. taking over and automating entire industries from deliveries to manufacturing. A.I. fueled machines can already do many tasks where learning and judgment are required from stock trading to self-driving cars and many tasks in healthcare. But is there any limit to their capabilities? We took a look at five fields where A.I. unexpectedly seem to be able to match humans.
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| − | <b>This Evolving AI Finds Bugs in Games | Two Minute Papers #250
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| − | </b><br>Our Patreon page: https://www.patreon.com/TwoMinutePapers The paper "Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari" by Patryk Chrabaszcz, Ilya Loshchilov, and Frank Hutter is available here: http://arxiv.org/abs/1802.08842 The bug has been reproduced by a human here: Reproduction: http://www.youtube.com/watch?v=VGyeUuysyqg We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Andrew Melnychuk, Brian Gilman, Christian Ahlin, Christoph Jadanowski, Dennis Abts, Emmanuel, Eric Haddad, Esa Turkulainen, Geronimo Moralez, Kjartan Olason, Lorin Atzberger, Malek Cellier, Marten Rauschenberg, Michael Albrecht, Michael Jensen, Nader Shakerin, Raul Araújo da Silva, Rob Rowe, Robin Graham, Ryan Monsurate, Shawn Azman, Steef, Steve Messina, Sunil Kim, Torsten Reil. Thumbnail background image credit: https://pixabay.com/photo-2619483/ Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Web: http://cg.tuwien.ac.at/~zsolnai/
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| − | <b>Stephen Colbert's Cyborgasm: [[Google]] Duplex
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| − | </b><br>[[Google]] demonstrated its new [[Google]] Duplex, an A.I. assistant that can have realistic conversations with humans. But what happens when they talk to each other?
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| − | <b>Introducing [[Google]] Nose
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| − | </b><br>We're excited to announce our newest addition to Search: [[Google]] Nose. What do wet dogs smell like? [[Google]] Nose! How about victory? [[Google]] Nose! Try searching on [[Google]] for "wet dog" and explore other smells that people sniffed for, or visit google.com/nose to learn more. Happy smelling!
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| − | <b>Amazon Echo - SNL
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| − | </b><br>The [[Amazon]] Echo Silver is specifically designed for the greatest generation (Kenan Thompson, Kate McKinnon, Leslie Jones, Kyle Mooney, Aidy Bryant).
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| − | <b>LOL-BOT - THE WORLD’S FIRST A.I. COMEDIAN
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| − | </b><br>This year, the Melbourne International Comedy Festival is unveiling the world’s first A.I. comedian, aptly named, LOL-BOT. Developed locally in Melbourne, LOL-BOT is a comedy-tech prototype that can generate its own on-the-spot jokes and pick up on real-time human reactions. He’s a shining example of the huge strides that are being made in artificial intelligence, albeit for a more humorous purpose.
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