Computerphile: Deep Learning

Computerphile: Deep Learning

Google, Facebook & Amazon all use deep learning methods, but how does it work? Research fellow & Deep Learning expert Brais Martinez explains.

Alan Kay at OOPSLA 1997 – The computer revolution hasnt happened yet

Alan Kay’s seminal 1997 OOPSLA keynote. Originally hosted on Google Video, copies of it are now only available from the website as far as I can find. Putting it on youtube is my attempt to preserve a really important talk and computer science and computing in general. YouTube Source for this AI Video

Model Explainability Forum

The use of machine learning in business, government, and other settings that require users to understand the model’s predictions has exploded in recent years. This growth, combined with the increased popularity of opaque ML models like deep learning, has led to the development of a thriving field of model explainability research and practice. In this […]

Match 5 15 Minute Summary – Google DeepMind Challenge Match 2016

15 Minute Summary by Michael Redmond 9 dan professional and Chris Garlock on today’s nail-biting 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 […]

Create something (Neue) every day ft. amazing chair review

I ordered a NeueChair the other day and it arrived today. I was so excited I had to put it together, try it out and review it straight away. It also happened to arrive at an absolutely perfect time. The Google Colab notebook I was working on died out and I needed a break. I […]

Advances in machine learning and TensorFlow (Google I/O '18)

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. Rate this session by signing-in on the I/O website here → Watch more […]

Mark Hammond Interview – Machine Teaching for Better Machine Learning

Today’s show, which concludes the first season of the Industrial AI Series, features my interview with Bonsai co-founder and CEO Mark Hammond. I sat down with Mark at Bonsai HQ a few weeks ago and we had a great discussion while I was there. We touched on a ton of subjects throughout this talk, including […]

Missy Cummings Interview – Infrastructure for Autonomous Vehicles

In this episode, I’m joined by Missy Cummings, head of Duke University’s Humans and Autonomy Lab and professor in the department of mechanical engineering. In addition to being an accomplished researcher, Missy also became one of the first female fighter pilots in the US Navy following the repeal of the Combat Exclusion Policy in 1993. […]

Trends in Graph Machine Learning with Michael Bronstein – #446

Today we’re back with the final episode of AI Rewind joined by Michael Bronstein, a professor at Imperial College London and the Head of Graph Machine Learning at Twitter. In our conversation with Michael, we touch on his thoughts about the year in Machine Learning overall, including GPT-3 and Implicit Neural Representations, but spend a […]

(5/5) AlphaVertex – Creating a Worldwide Financial Knowledge Graph

This week I’m on location at NYU/ffVC AI NexusLab startup accelerator, speaking with founders from the 5 companies in the program’s inaugural batch. This interview is with AlphaVertex, a FinTech startup creating a worldwide financial knowledge graph to help investors predict stock prices. The notes for this series can be found at Thanks to […]

Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga – #525

Today we’re joined by Joseph Soriaga, a senior director of technology at Qualcomm. In our conversation with Joseph, we focus on a pair of papers that he and his team will be presenting at Globecom later this year. The first, Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking, details the use of deep […]

#TWIMLfest: Live Watch Party and AMA with Milind Tambe

In this session, Sam is joined by Milind Tambe, Director of AI for Social Good at Google Research India, and Director of the Center for Research in Computation and Society (CRCS) at Harvard University. In the conversation, we explore Milind’s various research interests, most of with fall under the umbrella of AI for Social Impact, […]

Human-Centered ML for High-Risk Behaviors with Stevie Chancellor – #472

Today we’re joined by Stevie Chancellor, an Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota. In our conversation with Stevie, we explore her work at the intersection of human-centered computing, machine learning, and high-risk mental illness behaviors. We discuss how her background in HCC helps shapes her perspective, […]

Quantum Singular Value Transformation (Quantum Summer Symposium 2020)

András Gilyén of Caltech talks about Quantum Singular Value Transformation, a unified framework of quantum algorithms. This presentation was recorded on Day 2 of Google’s Quantum Summer Symposium 2020 (July 23, 2020). Google’s Quantum Summer Symposium 2020 playlist → Subscribe to TensorFlow → Source of this TensorFlow AI Video

Who am (A)I – #MyAI Contest Entry – TWiML & AI – @ShirinGlander

Want to sign up for the TWiML & AI #MyAI Video Contest? Head over to, fire up your webcam or smartphone camera, and tell us your story in 2 minutes or less. We want to hear your thoughts on AI for home and personal use, such as: The role AI is playing in your […]

TWiML x Fast ai Deep Learning From the Foundations Study Group – Lesson 8

This is the Deep Learning From the Foundations Study Group on Lesson 10b, presented by Joseph Catanzarite. Subscribe! iTunes ➙… Soundcloud ➙ Google Play ➙ Stitcher ➙… RSS ➙ Lets Connect! ➙ Twitter ➙ Facebook ➙ Instagram ➙ Medium ➙… YouTube Source for […]

Two Minute Papers: Google’s Text Reader AI: Almost Perfect | Two Minute Papers #228

The paper “Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions” is available here: Our Patreon page with the details: One-time payment links are available below. Thank you very much for your generous support! PayPal: Bitcoin: 13hhmJnLEzwXgmgJN7RB6bWVdT7WkrFAHh Ethereum: 0x002BB163DfE89B7aD0712846F1a1E53ba6136b5A Unofficial implementations – proceed with care: We would like […]

CoRL 2020, Spotlight Talk 28: From pixels to legs: Hierarchical learning of quadruped locomotion

“**From pixels to legs: Hierarchical learning of quadruped locomotion** Deepali Jain (Google)*; Ken Caluwaerts (Google); Atil Iscen (Google) Publication: **Abstract** Legged robots navigating crowded scenes and complex terrains in the real world are required to execute dynamic leg movements while processing visual input for obstacle avoidance and path planning. We show that a quadruped […]

[ML News] DeepMind tackles Math | Microsoft does more with less | Timnit Gebru launches DAIR

#mlnews #deepmind #ai The most trusted model in News! Get started with Weights & Biases here: (it’s free forever for personal use) OUTLINE: 0:00 – Intro 0:15 – Sponsor: Weights & Biases 3:10 – DeepMind tackles fundamental math 6:45 – Microsoft focuses on scaling effectively and efficiently 10:15 – NeurIPS Anthology Visualization 13:30 – […]

AI for Ecology and Ecosystem Preservation with Bryan Carstens – #449

Today we’re joined by Bryan Carstens, a professor in the Department of Evolution, Ecology, and Organismal Biology & Head of the Tetrapod Division in the Museum of Biological Diversity at The Ohio State University. In our conversation with Bryan, who comes from a traditional biology background, we cover a ton of ground, including a foundational […]