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AlphaFold: a solution to a 50-year-old grand challenge in biology
Proteins are essential to life, supporting practically all its functions. They are large complex molecules, made up of chains of amino acids, and what a protein does largely depends on its unique 3D structure. Figuring out what shapes proteins fold into is known as the “protein-folding problem”, and has stood as a…
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A one-year moratorium on police use of Rekognition
We’re implementing a one-year moratorium on police use of Amazon’s facial recognition technology. We will continue to allow organizations like Thorn, the International Center for Missing and Exploited Children, and Marinus Analytics to use Amazon Rekognition to help rescue human trafficking victims…
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Hum to Search Song
Google Search helps you find the melody that’s stuck in your head with machine learning technology.
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Jukebox
We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles. We’re releasing the model weights and code, along with a tool to explore the generated samples.
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Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU
NVIDIA Corporate Blog Post Archive
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Enemy AI: chasing a player without Navigation2D or A* pathfinding
Making a game where your enemies need to chase the player? This starts out easy, make the enemy run towards the player! But what happen...
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Background Features in Google Meet, Powered by Web ML
Posted by Tingbo Hou and Tyler Mullen, Software Engineers, Google Research Video conferencing is becoming ever more critical in people's work and p...
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Amazon's ML University is making its online courses available to the public
Classes previously only available to Amazon employees will now be available to the community.
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A popular self-driving car dataset is missing labels for hundreds of pedestrians
SUMMARY A hand-check of the 15,000 images in the widely used Udacity Dataset 2 found problems in 4,986 of them (33%), including thousands of unlabeled vehicles, hundreds of unlabeled pedestrians, dozens of unlabeled cyclists, and 217 completely unannotated images that contained real objects. Phantom annotations…
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YOLOv5: State-of-the-art object detection at 140 FPS
YOLOv5 license and commercial-use guide: AGPL-3.0 terms, specs, resources, and alternatives. Compare YOLOv5 against other vision models free.
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Turing-NLG: A 17B-parameter language model
This figure was adapted from a similar image published in DistilBERT. Turing Natural Language Generation (T-NLG) is a 17 billion parameter language model by Microsoft that outperforms the state of the art on many downstream NLP tasks. We present a demo of the model, including its freeform generation, question…
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ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations
Posted by Radu Soricut and Zhenzhong Lan, Research Scientists, Google Research Ever since the advent of BERT a year ago, natural language research...
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T5: The Text-to-Text Transfer Transformer
Posted by Adam Roberts, Staff Software Engineer and Colin Raffel, Senior Research Scientist, Google Research Over the past few years, transfer le...
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Does GPT-2 Know Your Phone Number?
The BAIR Blog
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All models are wrong, but some are completely wrong
At this critical time in the modern history of the human race, mathematical models have been pushed into the foreground. Epidemic forecasting informs policy and even individual decision-making. Sad…
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Using GANs to Create Fantastical Creatures
Posted by Andeep Singh Toor, Stadia Software Engineer and Fred Bertsch, Software Engineer, Google Research, Brain Team Creating art for digital vid...
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Pac-Man recreated with a GAN trained on 50k game episodes
Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems....
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Building an end-to-end Speech Recognition model in PyTorch
The complete guide on how to build an end-to-end Speech Recognition model in PyTorch. Train your own CTC Deep Speech model using this tutorial.
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Dopamine and Temporal Difference Learning
Learning and motivation are driven by internal and external rewards. Many of our day-to-day behaviours are guided by predicting, or anticipating, whether a given action will result in a positive (that is, rewarding) outcome. The study of how organisms learn from experience to correctly anticipate rewards has been a…
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Testing Firefox more efficiently with machine learning
A browser is an enormously complex piece of software, and it's always in development. About a year ago, we asked ourselves: how could we do better? Our CI relied heavily ...
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Image GPT
We find that, just as a large transformer model trained on language can generate coherent text, the same exact model trained on pixel sequences can generate coherent image completions and samples. By establishing a correlation between sample quality and image classification accuracy, we show that our best generative…
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Netflix's Metaflow: Reproducible machine learning pipelines
A complete guide to building end-to-end machine learning pipelines, from training to deployment, with Metaflow and Cortex