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Match 2: 90 Second Summary – Google DeepMind Challenge Match

Summary by Michael Redmond, 9-dan professional, and Chris Garlock on today’s historic second match between DeepMind’s program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul. In October 2015, AlphaGo became the first computer program ever to beat a […]
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SingularityNET: Ambassador Program Town Hall Meeting 2 | 17th of May 2022

This is a recording of the second meeting of the SingularityNET Community Ambassador Program. Feedback form: https://docs.google.com/forms/d/e/1FAIpQLSeDKydOQULBnzN2Y-WbJJuE9d3DQ15HGzphP_LoI6X_KjEjsw/viewform?usp=sf_link Slides: https://docs.google.com/presentation/d/1mczZxocs4GbK6FQVhaopplKYHLVsEa5GwjoEQvRA_oI/edit?usp=sharing Meeting notes: https://miro.com/app/board/uXjVO0WVUBA=/ First meeting: https://youtu.be/4g_rUNNBQjI If you are interested to help out, reach out or join on discord: https://discord.gg/snet Video shorts can be submitted through WeTransfer, to peter.elfrink@singularitynet.io This Friday at 18UTC there will be […]
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Managing Data Labeling Ops for Success with Audrey Smith – #583

Today we continue our Data-Centric AI Series joined by Audrey Smith, the COO at MLtwist, and a recent participant in our panel on DCAI. In our conversation, we do a deep dive into data labeling for ML, exploring the typical journey for an organization to get started with labeling, her experience when making decisions around […]
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George Gilder: Forget Cloud Computing, Blockchain is the Future

Recorded on August 28, 2018 Is blockchain the technology of the future? George Gilder, author of Life After Google, argues that bitcoin and blockchain technology is revolutionizing the Internet. He sits down with Peter Robinson to discuss technology, cloud computing, big data, and the growing role of blockchain in innovating new technologies. Gilder argues that […]
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comma ai | George Hotz Announcing COMMA THREE at COMMA_CON | comma.ai/shop/products/three

Date of video 31 Jul 2021. comma three devkit https://comma.ai/shop/products/three Stream title: George Hotz Announcing COMMA THREE at COMMA_CON View original video on Youtube: – https://youtu.be/hbLiehrC2DQ Buy comma three devkit: – https://comma.ai/shop/products/three Twitter for this broadcast: – https://twitter.com/comma_ai/status/1423045628771201025 comma.ai youtube playlist: – https://youtube.com/playlist?list=PLzFUMGbVxlQth3li9A_lWOT1HSbIHQpE0 Chapters: 00:00:00 George Hotz introduction 00:00:42 History of comma 00:05:06 Consumer reports […]
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06:17:57

Match 4 – Google DeepMind Challenge Match: Lee Sedol vs AlphaGo

Watch DeepMind’s program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul. This is the livestream for Match 4 to be played on: 13th March 13:00 KST (local), 04:00 GMT; note for US viewers this is the day before […]
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05:59

SimCLR paper overview

This is video no. 3 in a series walking through simCLR research paper, going over the key ideas of simCLR: * Composition of image transformation * Nonlinear projection head * Temperature and normalization * Large batch sizes William Falcon, PyTorch Lightning founder, and Ananya Harsh Ja, Lightning research engineer, deep dive into simCLR (“A Simple […]
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41:22

Exploring TensorFlow 2.0 with Paige Bailey – TWiML Talk #242

Today we’re joined by Paige Bailey, a TensorFlow developer advocate at Google to discuss the TensorFlow 2.0 alpha release. Paige and I sat down to talk through the latest TensorFlow updates, and we cover a lot of ground, including the evolution of the TensorFlow APIs and the role of eager mode, tf.keras and tf.function, the […]
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14:53

Using Machine Learning to Replicate Airbnb's Amenity Detection Part 2: Data Exploration

I read an article the other which described how Airbnb uses computer vision and machine learning to automatically detect amenities (household objects) in their listings. I loved it so much I decided to replicate it in my own version as a machine learning project. Over the next six weeks (42 days), I’ll be replicating/improving their […]
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TensorFlow Lite for mobile developers (Google I/O '18)

TensorFlow Lite enables developers to deploy custom machine learning models to mobile devices. This technical session will describe in detail how to take a trained TensorFlow model, and use it in a mobile app through TensorFlow Lite. Rate this session by signing-in on the I/O website here → https://goo.gl/iSN2KQ Watch more TensorFlow sessions from I/O […]
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AI, Robot – DeepMind: The Podcast (Season 1, Episode 4)

Selected as “New and Noteworthy” by Apple Podcasts, the highly-praised, award-nominated first season of “DeepMind: The Podcast” explores the fascinating world of artificial intelligence (AI). Join mathematician and broadcaster Hannah Fry as she meets world-class scientists and thinkers as they explain the foundations of AI, explore some of the challenges the field is wrestling with, […]
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01:53

TensorFlow Dev Summit 2018 Highlights

We have seen tremendous advances in many different areas of machine learning. The use of TensorFlow has been instrumental in advancing machine learning and deep learning here at Google and abroad. TensorFlow Dev Summit 2018 brought together machine learning developers and users from around the world, for a day that was full of highly technical […]
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46:10

James Guszcza Interview – Human Factors in Machine Intelligence

As you all know, a few weeks ago, I spent some time in SF at the Artificial Intelligence Conference. I sat down with James Guszcza, US Chief Data Scientist at Deloitte Consulting to talk about human factors in machine intelligence. James was in San Francisco to give a talk at the O’Reilly AI Conference on […]
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05:46

Recitation 0d | Dataset and Data Loaders

Python Notebook: https://colab.research.google.com/drive/1B7txmVhPfNPjI_QkqNDLm2x62JivmdSn?usp=sharing Reference Link: https://libraries.io/github/deepology/ideel-tutorials For more information, please visit: http://deeplearning.cs.cmu.edu/ YouTube Source for this AI Video
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Building with TensorFlow Lite for microcontrollers | Workshop

Today, people use TensorFlow to develop large scale machine learning models. But did you know that TensorFlow can now run on microcontrollers? In this Workshop, the speaker discusses the potential of building with TensorFlow Lite for microcontrollers. He debuts demos, shows you how to train a model, and explains where TensorFlow fits in the TinyML […]
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Applying RL to Real-World Robotics with Abhishek Gupta – #466

Today we’re joined by Abhishek Gupta, a Ph.D. Student at UC Berkeley. Abhishek, a member of the BAIR Lab, joined us to talk about his recent robotics and reinforcement learning research and interests, which focus on applying RL to real-world robotics applications. We explore the concept of reward supervision, and how to get robots to […]
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Estimation of statistical significance of quantum supremacy (QuantumCasts)

Estimation of statistical significance in the quantum supremacy experiment with the Sycamore processor talk is presented by Software Engineer Ping Yeh for the APS March Meeting 2020. Google’s quantum supremacy experiment is based on sampling of output bitstrings of random quantum circuits [1]. To demonstrate quantum supremacy, it is critical to establish that the hardware […]
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08:59

Certifiable Random Number Generation (Quantum Summer Symposium 2020)

Kevin Sung reports on efforts to implement a protocol for certifiable random number generation using the Sycamore processor. This presentation was recorded on Day 1 of Google’s Quantum Summer Symposium 2020 (July 22, 2020). Google’s Quantum Summer Symposium 2020 playlist → https://goo.gle/2Z149sN Subscribe to TensorFlow → https://goo.gle/TensorFlow Source of this TensorFlow AI Video
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44:16

Multi-task Learning for Melanoma Detection with Julianna Ianni – #531

In today’s episode, we are joined by Julianna Ianni, vice president of AI research & development at Proscia. In our conversation, Julianna shares her and her team’s research, focused on developing applications that would help make the life of pathologists easier by enabling tasks to quickly and accurately be diagnosed using deep learning and AI. […]
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05:27

Deep Learning Program Simplifies Your Drawings | Two Minute Papers #107

The Ishikawa Watanabe Laboratory, the University of Tokyo laboratory has all rights to the materials shown in the video. The paper “Learning to Simplify: Fully Convolutional Networks for Rough Sketch Cleanup” and its online demo is available here: http://hi.cs.waseda.ac.jp/~esimo/en/research/sketch/ http://hi.cs.waseda.ac.jp:8081/ Recommended for you: Rocking Out With Convolutions – https://www.youtube.com/watch?v=JKYQOAZRZu4 Separable Subsurface Scattering – https://www.youtube.com/watch?v=72_iAlYwl0c WaveNet […]
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04:36

CoRL 2020, Spotlight Talk 427: Unsupervised Monocular Depth Learning in Dynamic Scenes

“**Unsupervised Monocular Depth Learning in Dynamic Scenes** Hanhan Li (Google AI); Ariel Gordon (Google Research)*; Hang Zhao (Waymo); Vincent Casser (Waymo); Anelia Angelova (Google) Publication: http://corlconf.github.io/paper_427/ **Abstract** We present a method for jointly training the estimation of depth, ego-motion, and a dense 3D translation field of objects relative to the scene, with monocular photometric consistency […]
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SingularityNET: General Theory of General Intelligence: Patternist Philosophy (2/10)

This episode by Dr. Ben Goertzel of SingularityNET overviews the patternist philosophy of mind, a philosophy capable of serving as a conceptual foundation for a general theory of general intelligence. An additional reference relevant to this episode is: Goertzel, Ben. The hidden pattern: A patternist philosophy of mind. Universal-Publishers, 2006. http://www.bookpump.com/bwp/pdf-b/1129890b.pdf Series Deck: https://drive.google.com/file/d/1ebhHpF-eK6XtrrkbYXR8uKq99IO6Oqj7/view?usp=sharing SingularityNET […]