The latest blog posts to take off on Hacker News. 6,335 posts.
Deep and machine learning (ML) frameworks are good at what they do, but altering their underlying code is typically difficult. Flashlight is a new open source library written entirely in C++ that enables teams to rapidly modify frameworks to fit their needs. Read more:
For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and maintain bindings back to Python…
A bug that plagues thousands of open-source ML projects.
Posted by Cassidy Curtis, Visual Designer and David Salesin, Principal Scientist, Google Research 3D computer animation is a time-consuming and hig...
Get the latest on neurotech directly from our experts. Check out the Neuralink blog for news, insights, and behind-the-scenes looks at our work.
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Machine learning systems thrive on finding and exploiting statistical regularities. This is why they can't do causal reasoning.
Here's a snapshot of how we're using AI to make Maps work better for you with a number of updates coming this year.
A blog about signals, programming, music, and other stuff.
The capabilities of game-playing AIs have grown rapidly over the last few years. This trend has culminated in the defeat of top human players in the complex real-time strategy (RTS) games of DoTA 2…
Applying photo geolocation estimation to the game of GeoGuessr.
Once upon a time I decided to train a neural net to generate pickup lines. Once I started collecting the training data I began to regret it when I saw how awful the existing lines were. Turns out I needn’t have worried. The neural net I used was so small and clueless that
Posted by Ji Hun Kim and Richard Wu, Software Engineers, Stadia Over the years, online multiplayer games have exploded in popularity, captivating m...
A machine learning AI-esque robot challenges off on 156 trivia questions against tens of thousands of Water Cooler Trivia participants.
How can we build machines with human-level intelligence? There’s a limit to how far the field of AI can go with supervised learning alone. Here's why self-supervised learning is one of the most promising ways to make significant progress in AI.
The Book of Why: The New Science of Cause and Effect is a collaborative effort aimed at a general audience by Judea Pearl , a professor of computer science at UCLA, and Dana Mackenzie , a science writer. As a medical student with a laughably poor formal education in statistics, I believe I qualify as a card-carrying…
Reflections from my time at Google Brain, and why I left for a PhD.
I have aggregated some of the SotA image generative models released recently, with short summaries, visualizations and comments. The overall development is summarized, and the future trends are spe…
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that CLIP and similar…
A digital twin of our planet is to simulate the Earth system in future. It is intended to support policy-makers in taking appropriate measures to better prepare for extreme events. A new strategy paper by European scientists and ETH Zurich computer scientists shows how this can be achieved.
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What does Timnit Gebru’s firing and the recent papers coming out of Google tell us about the state of research at the world’s biggest AI…
Critics of AI risk suggest diminishing returns to computing (formalized asymptotically) means AI will be weak; this argument relies on a large number of questionable premises and ignoring additional resources, constant factors, and nonlinear returns to small intelligence advantages, and is highly unlikely.
comma.ai gets punished for being open, so why would anyone even bother?
