research

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Machine learning news and insights

Understanding Transfer Learning for Medical Imaging

feedproxy.google.com 2d

Posted by Maithra Raghu and Chiyuan Zhang, Research Scientists, Google Research As deep neural networks are applied to an increasingly d...

Reduced soil tilling helps both soils and yields

news.stanford.edu 2d

By monitoring crops through machine learning and satellite data, Stanford scientists have found farms that till the soil less can increase yields of corn and soybeans and improve the health of the soil – a win-win for meeting growing food needs worldwide.

Data-Driven Deep Reinforcement Learning

bair.berkeley.edu 3d

The BAIR Blog

Deep Double Descent

openai.com 3d

Contrary to conventional wisdom, we find that the performance of CNNs, ResNets, and transformers is non-monotonic: it first improves, then gets worse, and then improves again with increasing model size, data size, or training time. This effect is often avoided through careful regularization. While this behavior appears to be fairly

Whitney Cummings: Comedy, Robotics, Neurology, and Love

lexfridman.com 3d

Whitney Cummings is a stand-up comedian, actor, producer, writer, director, and the host of a new podcast called Good for You. Her most recent Netflix special called “Can I Touch It?” features in part a robot, she affectionately named Bearclaw, that is designed to be visually a replica of Whitney. It’s exciting for me to see one of my favorite...

research.fb.com 5d

See posts, photos and more on Facebook.

Procgen Benchmark

openai.com 5d

We’re releasing Procgen Benchmark, 16 simple-to-use procedurally-generated environments which provide a direct measure of how quickly a reinforcement learning agent learns generalizable skills.

Developing Deep Learning Models for Chest X-rays with Adjudicated Image Labels

feedproxy.google.com 5d

Posted by Dave Steiner, MD, Research Scientist and Shravya Shetty, Technical Lead, Google Health With millions of diagnostic examination...

Ray Dalio: Principles, the Economic Machine, Artificial Intelligence & the Arc of Life

lexfridman.com 6d

Ray Dalio is the founder, Co-Chairman and Co-Chief Investment Officer of Bridgewater Associates, one of the world’s largest and most successful investment firms that is famous for the principles of radical truth and transparency that underlie its culture. Ray is one of the wealthiest people in the world, with ideas that extend far beyond the specifics of how he made...

Thank you all!

anima-ai.org 8d

The Thanksgiving weekend has been a much needed staycation. Given how much I travel rest of the year, I feel lucky to avoid all the weather-related chaos this weekend. I got to even see the rare vi…

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Noam Chomsky: Language, Cognition, and Deep Learning

lexfridman.com 9d

Noam Chomsky is one of the greatest minds of our time and is one of the most cited scholars in history. He is a linguist, philosopher, cognitive scientist, historian, social critic, and political activist. He has spent over 60 years at MIT and recently also joined the University of Arizona. This conversation is part of the Artificial Intelligence podcast. If you...

Astrophotography with Night Sight on Pixel Phones

feedproxy.google.com 12d

Posted by Florian Kainz and Kiran Murthy, Software Engineers, Google Research Taking pictures of outdoor scenes at night has so far bee...

Snapshot of artificial intelligence reveals challenges

news.stanford.edu 12d

A periodic review of the artificial intelligence industry revealed the potential pitfalls of outsourcing our problems for technology to solve rather than addressing the causes, and of allowing outdated predictive modeling to go unchecked.

RoboNet: A Dataset for Large-Scale Multi-Robot Learning

ai.stanford.edu 12d

This post is cross-listed at the BAIR Blog and the CMU ML blog.

RoboNet: A Dataset for Large-Scale Multi-Robot Learning

bair.berkeley.edu 12d

The BAIR Blog

Economic Opportunity Winners

research.fb.com 13d

Winners of the Economic Opportunity and Digital Platform RFP

Gilbert Strang: Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare

lexfridman.com 13d

Gilbert Strang is a professor of mathematics at MIT and perhaps one of the most famous and impactful teachers of math in the world. His MIT OpenCourseWare lectures on linear algebra have been viewed millions of times. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to or...

Dava Newman: Space Exploration, Space Suits, and Life on Mars

lexfridman.com 16d

Dava Newman is the Apollo Program professor of AeroAstro at MIT and the former Deputy Administrator of NASA and has been a principal investigator on four spaceflight missions. Her research interests are in aerospace biomedical engineering, investigating human performance in varying gravity environments. She has developed a space activity suit, namely the BioSuit, which would provide pressure through compression directly...

Prof. Anca Dragan Talks About Human-Robot Interaction for WIRED

bair.berkeley.edu 16d

The BAIR Blog

New Algorithm trains AI to avoid bad behaviors

news.stanford.edu 17d

Robots, self-driving cars and other intelligent machines could become better-behaved thanks to a new way to help machine learning designers build AI applications with safeguards against specific, undesirable outcomes such as racial and gender bias.

Safety Gym

openai.com 17d

We're releasing Safety Gym, a suite of environments and tools for measuring progress towards reinforcement learning agents which respect safety constraints while training.

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RecSim: A Configurable Simulation Platform for Recommender Systems

feedproxy.google.com 19d

Posted by Martin Mladenov, Research Scientist and Chih-wei Hsu, Software Engineer, Google Research Significant advances in machine lear...

Michael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning

lexfridman.com 19d

Michael Kearns is a professor at University of Pennsylvania and a co-author of the new book Ethical Algorithm that is the focus of much of our conversation, including algorithmic fairness, bias, privacy, and ethics in general. But, that is just one of many fields that Michael is a world-class researcher in, some of which we touch on quickly including learning...

How to solve the cheaters problem in Counter Strike, with or without machine learning

fastml.com 19d

Counter Strike is the most popular and long-lived first person shooter game ever. As great as it can be, it has its problems. The most important problem concerns cheating.

Learning from the Women in AI Summit

research.fb.com 20d

At Facebook, we want to ensure that diverse perspectives are shaping the future of AI. We sat down with four leaders in the Women in AI community to learn more about their inclusion efforts, the challenges they’ve encountered, and what motivates them.

Machinery of Grace

blog.shakirm.com 22d

Shakir Mohamed | for TEDxLSTM: Unknown Destinations | 1345 words (~14mins) Dearest, Dearest, note how these two are alike: This harpsichord pavane by Purcell And the racer’s twelve-speed bike. The …

New Solutions for Quantum Gravity with TensorFlow

feedproxy.google.com 23d

Posted by Thomas Fischbacher, Researcher in Compression, Google Research, Zürich Recent strides in machine learning (ML) research have l...

SPICE: Self-Supervised Pitch Estimation

feedproxy.google.com 24d

Posted by Marco Tagliasacchi, Research Scientist, Google Research A sound’s pitch is a qualitative measure of its frequency, where a sou...

Introducing the Next Generation On-Device Vision Models: MobileNetV3 and MobileNetEdgeTPU

feedproxy.google.com 25d

Posted by Andrew Howard, Software Engineer and Suyog Gupta, Silicon Engineer, Google Research On-device machine learning (ML) is an esse...

Facebook Research- At Facebook, research permeates everything we do. We believe the most interesting research questions are derived from real world problems.

research.fb.com 25d

At Facebook, research permeates everything we do. We believe the most interesting research questions are derived from real world problems.

AI and gene-editing pioneers to discuss ethics

news.stanford.edu 26d

Two pioneering scientists who transformed the fields of artificial intelligence and gene editing discuss the impacts and ethics of their technologies.

New Insights into Human Mobility with Privacy Preserving Aggregation

feedproxy.google.com 26d

Posted by Adam Sadilek, Software Engineer and Xerxes Dotiwalla, Product Manager, Google Research Understanding human mobility is crucial...

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Elon Musk: Neuralink, AI, Autopilot, and the Pale Blue Dot

lexfridman.com 26d

Elon Musk is the CEO of Tesla, SpaceX, Neuralink, and a co-founder of several other companies. This is the second time Elon has been on the podcast. You can watch the first time on YouTube or listen to the first time on its episode page. You can read the transcript (PDF) here. This conversation is part of the Artificial Intelligence...

Introducing the Schema-Guided Dialogue Dataset for Conversational Assistants

feedproxy.google.com 26d

Posted by Abhinav Rastogi, Software Engineer and Pranav Khaitan, Engineering Lead, Google Research Today's virtual assistants help user...

Highlights from the 2019 Google AI Residency Program

feedproxy.google.com 26d

Posted by Katie Meckley, Program Manager, Google AI Residency This fall marks the successful conclusion to the fourth year of the Google...

A New Workflow for Collaborative Machine Learning Research in Biodiversity

feedproxy.google.com 26d

Posted by Serge Belongie, Visiting Faculty and Hartwig Adam, Engineering Director, Google Research The promise of machine learning (ML) ...

Learning to Smell: Using Deep Learning to Predict the Olfactory Properties of Molecules

feedproxy.google.com 26d

Posted by Alexander B Wiltschko, Senior Research Scientist, Google Research Smell is a sense shared by an incredible range of living org...

The Visual Task Adaptation Benchmark

feedproxy.google.com 26d

Posted by Neil Houlsby, Research Scientist and Xiaohua Zhai, Research Engineer, Google Research, Zürich Deep learning has revolutionize...

Learning to Assemble and to Generalize from Self-Supervised Disassembly

feedproxy.google.com 26d

Posted by Kevin Zakka, Research Intern and Andy Zeng, Research Scientist, Robotics at Google Our physical world is full of different sha...

On-Device Captioning with Live Caption

feedproxy.google.com 26d

Posted by Michelle Tadmor-Ramanovich and Nadav Bar, Senior Software Engineers, Google Research, Tel-Aviv Captions for audio content are ...

Google at ICCV 2019

feedproxy.google.com 26d

Andrew Helton, Editor, Google Research Communications This week, Seoul, South Korea hosts the International Conference on Computer Vision ...

Quantum Supremacy Using a Programmable Superconducting Processor

feedproxy.google.com 26d

Posted by John Martinis, Chief Scientist Quantum Hardware and Sergio Boixo, Chief Scientist Quantum Computing Theory, Google AI Quantum ...

Controlling Assistive Robots with Learned Latent Actions

ai.stanford.edu 26d

For the nearly one million American adults living with physical disabilities, taking a bite of food or pouring a glass of water presents a significant challenge. Assistive robots—such as wheelchair-mounted robotic arms—promise to solve this problem. Users control these robots by interacting with a joystick, guiding the robot arm to complete everyday tasks without relying on a human caregiver. Unfortunately,...

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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]

#meToo: the story that never ends

anima-ai.org 29d

He came into the room charging at me with rage in his eyes. I could feel the wind sweep into my face as he waved his arms angrily and hovered me. He invaded my personal space in a matter of seconds…

RoboTurk: Human Reasoning and Dexterity for Large-Scale Dataset Creation

ai.stanford.edu on 8 November

Large datasets have been shown to facilitate robot intelligence. By collecting diverse datasets for tasks such as grasping and stacking, robots are able to learn from this data to grasp and stack challenging, novel objects they haven’t seen before.

Adversarial Learning: Episode 21: The Cold Start Problem for Becoming a DJ

adversariallearning.libsyn.com on 8 November

Our guest this week is Pardis Noorzad (@djpardis), former data science manager at Twitter and now Head of Data Science at Carbon Health. Our conversation spans a wide range of topics: the Tenderloin Carbon Health what Duran Duran has to do with Black History Month the "cold start problem" for becoming a DJ how long it takes to achieve domain...

Bjarne Stroustrup: C++

lexfridman.com on 7 November

Bjarne Stroustrup is the creator of C++, a programming language that after 40 years is still one of the most popular and powerful languages in the world. Its focus on fast, stable, robust code underlies many of the biggest systems in the world that we have come to rely on as a society. If you’re watching this on YouTube, many...

GPT-2: 1.5B Release

openai.com on 5 November

As the final model release of GPT-2 [/blog/better-language-models/]’s staged release [/blog/gpt-2-6-month-follow-up/], we’re releasing the largest version (1.5B parameters) of GPT-2 along with code and model weights [] to facilitate detection of outputs of GPT-2 models. While there have been larger language models released since August, we’ve continued with our original staged release plan in order to provide the community with...

Facebook Research at EMNLP 2019

research.fb.com on 4 November

Facebook researchers will be presenting more than 25 papers in oral presentations, poster sessions, and workshops at the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP).

Computing Receptive Fields of Convolutional Neural Networks

distill.pub on 4 November

Detailed derivations and open-source code to analyze the receptive fields of convnets.