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#131 - Chris Lattner: The Future of Computing and Programming Languages

lexfridman.com 1d

Chris Lattner is a world-class software & hardware engineer, leading projects at Apple, Tesla, Google, and SiFive. Please support this podcast by checking out our sponsors: – Blinkist: and use code LEX to get a free week of premium – Neuro: and use code LEX to get 15% off – MasterClass: to get 15% off annual sub...

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Recreating Historical Streetscapes Using Deep Learning and Crowdsourcing

feedproxy.google.com 4d

Posted by Raimondas Kiveris, Software Engineer, Google Research For many, gazing at an old photo of a city can evoke feelings of both nos...

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Measuring Gendered Correlations in Pre-trained NLP Models

feedproxy.google.com 5d

Posted by Kellie Webster, Software Engineer, Google Research Natural language processing (NLP) has seen significant progress over the pa...

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The Coming Wave of ML Systems

ai.stanford.edu 6d

AI and ML products now permeate every aspect of our digital lives–from recommendations of what to watch, to divining our search intent, to powering increasingly-present virtual assistants in consumer and enterprise settings. While quality improvements are the main focus of traditional ML and AI research, a second and arguably less well understood benefit of machine learning is that it can...

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Reinforcement learning is supervised learning on optimized data

bair.berkeley.edu 7d

The BAIR Blog

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Announcing the 2020 Google PhD Fellows

feedproxy.google.com 11d

Posted by Susie Kim, Program Manager, University Relations Google created the PhD Fellowship Program in 2009 to recognize and support out...

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GTI: Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

ai.stanford.edu 13d

It takes a lot of data for robots to autonomously learn to perform simple manipulation tasks as as grasping and pushing. For example, prior work12 has leveraged Deep Reinforcement Learning to train robots to grasp and stack various objects. These tasks are usually short and relatively simple - for example, picking up a plastic bottle in a tray. However, because...

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Plan2Explore: Active Model-Building for Self-Supervised Visual Reinforcement Learning

bair.berkeley.edu 14d

The BAIR Blog

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Plan2Explore: Active Model-Building for Self-Supervised Visual Reinforcement Learning

bair.berkeley.edu 15d

The BAIR Blog

#129 - Lisa Feldman Barrett: Counterintuitive Ideas About How the Brain Works

lexfridman.com 15d

Lisa Feldman Barrett is a neuroscientist, psychologist, and author. Please support this podcast by checking out our sponsors: – Athletic Greens: and use code LEX to get free vitamin D3/K2 – Magic Spoon: and use code LEX to get free shipping – Cash App: and use code LexPodcast to get $10 EPISODE LINKS: Seven and a Half...

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Massively Large-Scale Distributed Reinforcement Learning with Menger

feedproxy.google.com 17d

Posted by Amir Yazdanbakhsh, Research Scientist, and Junchaeo Chen, Software Engineer, Google Research In the last decade, reinforcement ...

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Joel Grus – Streamlit Games

joelgrus.com 18d

Posts and writings by Joel Grus

Developing Real-Time, Automatic Sign Language Detection for Video Conferencing

feedproxy.google.com 18d

Posted by Amit Moryossef, Research Intern, Google Research Video conferencing should be accessible to everyone, including users who commu...

Audiovisual Speech Enhancement in YouTube Stories

feedproxy.google.com 18d

Posted by Inbar Mosseri, Software Engineer and Michael Rubinstein, Research Scientist, Google Research While tremendous efforts are inves...

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Advancing Instance-Level Recognition Research

feedproxy.google.com 24d

Posted by Cam Askew and André Araujo, Software Engineers, Google Research Instance-level recognition (ILR) is the computer vision task of...

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#126 - James Gosling: Java, JVM, Emacs, and the Early Days of Computing

lexfridman.com 26d

James Gosling is the founder and lead designer of the Java programming language. Please check out our sponsors to get a discount and to support this podcast: – Public Goods: and use code LEX – BetterHelp: – ExpressVPN: If you would like to get more information about this podcast go to  or connect with @lexfridman on Twitter,...

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The Geographic Bias in Medical AI Tools

hai.stanford.edu 28d

Patient data from just three states trains most AI diagnostic tools.

OpenAI Licenses GPT-3 Technology to Microsoft

openai.com 28d

OpenAI released its first commercial product back in June: an API for developers to access advanced technologies for building new applications and services. The API features a powerful general purpose language model, GPT-3, and has received tens of thousands of applications to date. In addition to offering GPT-3 and future

Advancing NLP with Efficient Projection-Based Model Architectures

feedproxy.google.com 28d

Posted by Prabhu Kaliamoorthi, Software Engineer, Google Research Deep neural networks have radically transformed natural language proces...

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#125 - Ryan Hall: Martial Arts and the Philosophy of Violence, Power, and Grace

lexfridman.com 29d

Ryan Hall is a jiu jitsu black belt, UFC fighter, and a philosopher of the martial arts. Please check out our sponsors to get a discount and to support this podcast: – PowerDot, use code LEX: – Babbel: and use code LEX – Cash App: download app & use code “LexPodcast” If you would like to get more...

Beyond log-concave sampling

offconvex.github.io 29d

Algorithms off the convex path.

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Improving the Accuracy of Genomic Analysis with DeepVariant 1.0

feedproxy.google.com on 18 September

Posted by Andrew Carroll, Product Lead, and Pi-Chuan Chang, Technical Lead, Google Health Sequencing genomes involves sampling short piec...

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Improving Sparse Training with RigL

feedproxy.google.com on 16 September

Posted by Utku Evci and Pablo Samuel Castro, Research Engineers, Google Research, Montreal Modern deep neural network architectures are o...

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Hope Returns to the Machine Learning Universe

approximatelycorrect.com on 16 September

If you're not living under a rock, then you've surely encountered the Heroes of Deep

#124 - Stephen Wolfram: Fundamental Theory of Physics, Life, and the Universe

lexfridman.com on 15 September

Stephen Wolfram is a computer scientist, mathematician, and theoretical physicist. This is our second conversation on the podcast. Please check out our sponsors to get a discount and to support this podcast: – SimpliSafe: – Sun Basket, use code LEX: – MasterClass: If you would like to get more information about this podcast go to  or connect...

Imitation Learning in the Low-Data Regime

feedproxy.google.com on 15 September

Posted by Robert Dadashi, Research Software Engineer, and Léonard Hussenot, Student Researcher, Google Research Reinforcement Learning (R...

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#123 - Manolis Kellis: Origin of Life, Humans, Ideas, Suffering, and Happiness

lexfridman.com on 12 September

Manolis Kellis is a professor at MIT and head of the MIT Computational Biology Group. Please check out our sponsors to get a discount and to support this podcast: – Public Goods: and use code LEX – Magic Spoon: link & using code LEX at checkout – ExpressVPN:  If you would like to get more information about this...

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How to Fill in the Blanks with Language Models

ai.stanford.edu on 11 September

When editing or revising we often write in a non-linear manner.

AI-controlled sensors could save lives in ‘smart’ hospitals and homes

engineering.stanford.edu on 11 September

Stanford Engineering Digital Magazine Article

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Communicating with Interactive Articles

distill.pub on 11 September

Examining the design of interactive articles by synthesizing theory from disciplines such as education, journalism, and visualization.

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AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

bair.berkeley.edu on 10 September

The BAIR Blog

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#122 - David Fravor: UFOs, Aliens, Fighter Jets, and Aerospace Engineering

lexfridman.com on 8 September

David Fravor is a navy pilot of 18 years and a primary witness in one of the most credible UFO sightings in history, video of which has been released by the Pentagon and reported on by the NY Times. Please check out our sponsors to get a discount and to support this podcast: – Athletic Greens: – ExpressVPN:  –...

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Call for papers? New API? Kaggle competition? Open position? Now you can advertise opportunities relevant to machine learning here. Ping [email protected]

Lex Solo #3 - In Memory of My Grandmother

lexfridman.com on 7 September

My attempt to find the words to honor my grandmother, an amazing woman who is responsible for much of who I am, who taught me how to be a man, taught me about strength, about wisdom, about compassion, about love. If you would like to get more information about this podcast go to  or connect with @lexfridman on Twitter, LinkedIn,...

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#121 - Eugenia Kuyda: Friendship with an AI Companion

lexfridman.com on 5 September

Eugenia Kuyda co-founder of Replika, an AI companion. Please check out our sponsors to get a discount and to support this podcast: – Dollar Shave Club: – DoorDash: download app & use code LEX – Cash App: download app & use code “LexPodcast” Episode links: Eugenia’s Twitter: Replika’s Twitter: Replika’s Website: If you would like to...

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Learning to Summarize with Human Feedback

openai.com on 4 September

We've applied reinforcement learning from human feedback to train language models that are better at summarization. Our models generate summaries that are better than summaries from 10x larger models trained only with supervised learning. Even though we train our models on the Reddit TL;DR dataset, the same models transfer

The Technology Behind our Recent Improvements in Flood Forecasting

feedproxy.google.com on 3 September

Posted by Sella Nevo, Senior Software Engineer, Google Research, Tel Aviv Flooding is the most common natural disaster on the planet, aff...

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KeyPose: Estimating the 3D Pose of Transparent Objects from Stereo

feedproxy.google.com on 2 September

Posted by Kurt Konolige, Software Engineer, Robotics at Google Estimating the position and orientation of 3D objects is one of the core p...

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Lex Solo #2 - The Future of Neuralink

lexfridman.com on 1 September

My thoughts on 8 possible long-term futures of Neuralink after attending the August 2020 progress update. This is a solo episode #2 of the podcast. Hopefully it’s interesting to some folks. The aim is for these episodes to be focused on a particular topic, at times challenging, at times personal, at times exciting to me on a technical and philosophical...

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Safety Validation of Black-Box Autonomous Systems

ai.stanford.edu on 1 September

With autonomous systems becoming more capable, they are entering into safety-critical domains such as autonomous driving, aircraft collision avoidance, and healthcare. Ensuring the safe operations of these systems is a crucial step before they can be deployed and accepted by our society. Failure to perform the proper degree of safety validation can risk the loss of property or even human...

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Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings

feedproxy.google.com on 28 August

Posted by Daniel Freedman and Ehud Rivlin, Research Scientists, Google Health Colorectal cancer (CRC) is a global health problem and the...

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Scaling Up Fundamental Quantum Chemistry Simulations on Quantum Hardware

feedproxy.google.com on 27 August

Posted by Nicholas Rubin and Charles Neill, Research Scientists, Google AI Quantum Accurate computational prediction of chemical processe...

Stanford launches AI-powered TV news analyzer

news.stanford.edu on 27 August

The Stanford Cable TV News Analyzer is an interactive tool that uses AI to search transcripts and calculate the screen time of public figures appearing on cable TV news.

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Self-classifying MNIST Digits

distill.pub on 27 August

Training an end-to-end differentiable, self-organising cellular automata for classifying MNIST digits.

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Thread: Differentiable Self-organizing Systems

distill.pub on 27 August

A collection of articles and comments with the goal of understanding how to design robust and general purpose self-organizing systems

5 Habits of Highly Effective Data Scientists

approximatelycorrect.com on 27 August

While COVID has negatively impacted many sectors, bringing the global economy to its knees, one

Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning

ai.stanford.edu on 27 August

Activities more fulfilling than chores.

Axial-DeepLab: Long-Range Modeling in All Layers for Panoptic Segmentation

feedproxy.google.com on 26 August

Posted by Huiyu Wang, Student Researcher, and Yukun Zhu, Software Engineer, Google Research The success of convolutional neural networks ...

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An Analysis of Online Datasets Using Dataset Search (Published, in Part, as a Dataset)

feedproxy.google.com on 25 August

Posted by Natasha Noy, Research Scientist; and Omar Benjelloun, Software Engineer, Google Research There are tens of millions of datasets...

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Stanford AI Lab Papers and Talks at ECCV 2020

ai.stanford.edu on 25 August

The European Conference on Computer Vision (ECCV) 2020 is being hosted virtually from August 23rd - 28th. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford! List...

New Name: Lex Fridman Podcast

lexfridman.com on 25 August

New podcast name. New Russian hitman thumbnail. Everything else stays the same. AI is still my passion, but this gives me a bit more freedom to talk to interesting folks from all over. Thanks for the support & the love. If you would like to get more information about this podcast go to  or connect with @lexfridman on Twitter, LinkedIn,...