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34:46

Katie Driggs-Campbell Interview – Modeling Human Drivers for Autonomous Driving

We are back with our third show this week, episode 3 of our Autonomous Vehicles Series. My guest this time is Katie Driggs-Campbell, PostDoc in the Intelligent Systems Lab at Stanford University’s Department of Aeronautics and Astronautics. Katie joins us to discuss her research into human behavioral modeling and control systems for self-driving vehicles. Katie […]
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14:21

[ML News] Google’s 540B PaLM Language Model & OpenAI’s DALL-E 2 Text-to-Image Revolution

#mlnews #palm #dalle2 Google releases PaLM and OpenAI releases DALL-E 2 (and more news). Sponsor: Weights & BIases Start here: https://wandb.me/yannic Thumbnail credit: DALL-E 2 via Sam Altman OUTLINE 0:00 – Street interview w/ random stranger 2:25 – Intro 2:50 – PaLM – Google’s 540B Pathways Language Model 7:50 – Sponsor: Weights & Biases 9:10 […]
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14:38

[ML News] Google’s 540B PaLM Language Model & OpenAI’s DALL-E 2 Text-to-Image Revolution

#mlnews #palm #dalle2 Google releases PaLM and OpenAI releases DALL-E 2 (and more news). Sponsor: Weights & BIases Start here: https://wandb.me/yannic Thumbnail credit: DALL-E 2 via Sam Altman OUTLINE 0:00 – Street interview w/ random stranger 2:45 – Intro 3:10 – PaLM – Google’s 540B Pathways Language Model 8:10 – Sponsor: Weights & Biases 9:30 […]
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04:58

Two Minute Papers: Adobe’s New AI: Next Level Cat Videos! 🐈

❤️ Check out Cohere and sign up for free today: https://cohere.ai/papers 📝 The paper “GANgealing GAN-Supervised Dense Visual Alignment” is available here: https://www.wpeebles.com/gangealing Note that this work is a collaboration between Adobe Research, UC Berkeley, CMU and MIT CSAIL. Try it!: – https://colab.research.google.com/drive/1JkUjhTjR8MyLxwarJjqnh836BICfocTu?usp=sharing – https://github.com/wpeebles/gangealing ❤️ Watch these videos in early access on our Patreon […]
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30:42

Open-Source Drug Discovery with DeepChem with Bharath Ramsundar – #566

Today we’re joined by Bharath Ramsundar, founder and CEO of Deep Forest Sciences. In our conversation with Bharath, we explore his work on the DeepChem, an open-source library for drug discovery, materials science, quantum chemistry, and biology tools. We discuss the challenges that biotech and pharmaceutical companies are facing as they attempt to incorporate AI […]
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01:39

Match 3: 90 Second Summary – Google DeepMind Challenge Match 2016

90 Second Summary by Michael Redmond, 9-dan professional, and Chris Garlock on today’s momentous third 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 […]
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01:31

Match 5: 90 Second Summary – Google DeepMind Challenge Match 2016

90 Second Summary by Michael Redmond, 9-dan professional and, Chris Garlock on today’s amazing fifth and final 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 […]
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01:19

Match 1: 90 Second Summary – Google DeepMind Challenge Match 2016

Summary by Michael Redmond, 9-dan professional, and Chris Garlock on today’s historic 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 professional […]
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01:48

Match 4: 90 Second Summary – Google DeepMind Challenge Match 2016

90 Second Summary by Michael Redmond, 9-dan professional, and Chris Garlock on today’s spectacular fourth 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 […]
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01:52

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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37:14

Keras Preprocessing Layers

Google Software Engineer Matthew Watson highlights Keras Preprocessing Layers’ ability to streamline model development workflows. Follow along as he builds an end-to-end model showing what you can do with these layers. Chapters 0:00 – Introduction 1:18 – Identifying the problem 6:01 – What are Keras preprocessing layers 9:45 – Preprocessing layers that are offered 17:37 […]
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52:12

Big Science and Embodied Learning at Hugging Face 🤗 with Thomas Wolf – #564

Today we’re joined by Thomas Wolf, co-founder and chief science officer at Hugging Face 🤗. We cover a ton of ground In our conversation, starting with Thomas’ interesting backstory as a quantum physicist and patent lawyer, and how that lead him to a career in machine learning. We explore how Hugging Face began, what the […]
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33:20

[ML News] AI Threatens Biological Arms Race

#mlnews #gtc22 #ithaca GTC Registration Link: https://ykilcher.com/gtc Your regular updates on what’s going on in the ML world! OUTLINE: 0:00 – Intro 0:20 – Register to Nvidia GTC and win a 3090! 4:15 – DeepMind’s Ithaca deciphers Lost Ancient Texts 6:45 – Drug discovery model turns toxic 10:00 – Gary Marcus: Deep Learning is hitting […]
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02:06

MIT's Mini Cheetah robot runs faster than ever

A new method allows MIT’s Mini Cheetah to learn how to run fast and adapt to walking on challenging terrain. This learning-based method outperforms previous human-designed methods and allowed the Mini Cheetah to set a record for speed. More info: https://news.mit.edu/2022/3-questions-how-mit-mini-cheetah-learns-run-fast-0317 Visit the project page at https://sites.google.com/view/model-free-speed/ The work was supported by DARPA Machine Common […]
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47:02

SingularityNET: Deep Funding | Proposal Guide

VP of Product Jan Horlings talks us through submitting a proposal for Deep Funding. You can find the presentation used in this video here: https://docs.google.com/presentation/d/e/2PACX-1vTUntowSjF-OKaxRr6__VB7v2L3SGsmejEfGJ33YJvCN2jhOHdC-1qUoHZFLMiH1knbaBiVB3n1HEhc/pub?start=false&loop=false&delayms=3000 We’re actively looking for feedback on the proposal process, join the discussion on Swae (signup required): https://proposals.deepfunding.ai/challenge-info-new/5699972c-2dc9-4b56-9295-819f5fe0ad0e You can read more about this on our website, including the blog here: […]
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10:41

Fastest Artificial Intelligence Ever Made (µ-Parametrization)

The first 1,000 people to use this link will get a 1 month free trial of Skillshare: https://skl.sh/ainews03221 A new Artificial Intelligence from Microsoft and OpenAI utilizes advanced µ-Parametrization in order to increase performance and allow huge AI models to be trained much more easily. This means that we can soon expect AI models which […]
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32:08

Full-Stack AI Systems Development with Murali Akula – #563

Today we’re joined by Murali Akula, a Sr. director of Software Engineering at Qualcomm. In our conversation with Murali, we explore his role at Qualcomm, where he leads the corporate research team focused on the development and deployment of AI onto Snapdragon chips, their unique definition of “full stack”, and how that philosophy permeates into […]
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06:32

Two Minute Papers: This New AI Can Find Your Dog In A Video! 🐩

❤️ Check out Fully Connected by Weights & Biases: https://wandb.me/papers 📝 The paper “MTTR – End-to-End Referring Video Object Segmentation with Multimodal Transformers” is available here: https://arxiv.org/abs/2111.14821 https://github.com/mttr2021/MTTR https://huggingface.co/spaces/MTTR/MTTR-Referring-Video-Object-Segmentation https://colab.research.google.com/drive/12p0jpSx3pJNfZk-y_L44yeHZlhsKVra-?usp=sharing 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Angelos […]
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54:51

100x Improvements in Deep Learning Performance with Sparsity with Subutai Ahmad – #562

Today we’re joined by Subutai Ahmad, VP of research at Numenta. While we’ve had numerous conversations about the biological inspirations of deep learning models with folks working at the intersection of deep learning and neuroscience, we dig into uncharted territory with Subutai. We set the stage by digging into some of fundamental ideas behind Numenta’s […]
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01:07:33

TWiML x Fast ai v3 Deep Learning Part 2 Study Group – Lesson 15 – Spring 2019 1080p

**SUBSCRIBE AND TURN ON NOTIFICATIONS** **twimlai.com** This video is a recap of our TWiML Online Study Group. In this session, we had a mini presentation on “Imagenet-Trained CNNs are Biased Towards Texture; Increasing Shape Bias Improves Accuracy and Robustness” and discussion. It’s not too late to join the study group. Just follow these simple steps: […]
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33:24

Fair for all – DeepMind: The Podcast (Season 2, Episode 8)

AI needs to benefit everyone, not just those who build it. But fulfilling this promise requires careful thought before new technologies are built and released into the world. In this episode, Hannah delves into some of the most pressing and difficult ethical and social questions surrounding AI today. She explores complex issues like racial and […]