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Is Google’s AI research about to implode?
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…
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EleutherAI One Year Retrospective
A look back at the first year of EleutherAI.
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Using AI to Animate Children’s Drawings
We’ve built a first-of-its-kind method for using AI to automatically animate children’s drawings of people.
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Unveiling our new Quantum AI campus
Google is unveiling a new Quantum AI campus in Santa Barbara, California.
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Customizing GPT-3 for Your Application
Fine-tune with a single command.
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Marc Andreessen on Investing and Tech
Transcript of interview on how tech changes the world
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A better way to build ML: Why you should be using Active Learning
Data labeling is often the biggest bottleneck in machine learning. Active learning lets you train machine learning models with much less labeled data. The best AI-driven companies, like Tesla, use active learning.
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Ray: A Distributed Framework for Emerging AI Applications
Ray: A Distributed Framework for Emerging AI Applications Moritz, Nishihara, Wang et. al.
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New algorithm flies drones faster than human racing pilots
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Inverting PhotoDNA
Ribosome inverts Microsoft PhotoDNA hashes using machine learning.
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Reasonable Effectiveness of the Multiplicative Weights Update Algorithm (2017)
papad Hard to believe Sanjeev Arora and his coauthors consider it “a basic tool [that should be] taught to all algorithms students together with divide-and-conquer, dynamic programming, and random sampling.” Christos Papadimitriou calls it “so hard to believe that it has been discovered five times and forgotten.” It…
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Mastering Real-Time Strategy Games with Deep RL: Mere Mortal Edition
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…
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Lessons from a year of AI research
Made in Notion, the connected workspace where AI agents and teams organize docs, projects and knowledge together.
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A Browsable Petascale Reconstruction of the Human Cortex
Posted by Tim Blakely, Software Engineer and Michał Januszewski, Research Scientist, Connectomics at Google In January 2020 we released the fly “he...
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Neural-control family: what deep learning and control enables in the real world
With the unprecedented advances of modern machine learning comes the tantalizing possibility of smart data-driven autonomous systems across a broad range of real-world settings. However, is machine learning (especially deep learning) really ready to be deployed in safety-critical systems?
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GitHub Copilot: First Impressions
A glimpse of the upcoming paradigm shift in how we do development
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Tesla Project Dojo Overview
A couple of days back, Ganesh Venkataramanan, leader of the Tesla Dojo project, announced the Dojo machine learning training system. It’s an unusually network rich, power dense, and memory light design. I’ve summarized the architecture of the system below but I found three aspects of the system particularly…
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Nearest neighbor indexes for similarity search
Vector similarity search is a game-changer in the world of search. It allows us to efficiently search a huge range of media, from GIFs to articles — with incredible accuracy in sub-second timescales for billion+ size datasets.
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How Ray Kurzweil’s 1998 predictions about 2019 are faring
This is the fourth…and LAST…entry in my series of blog posts analyzing the accuracy of Ray Kurzweil’s predictions about what things would be like in 2019. These predictions come from hi…
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Scientists begin building highly accurate digital twin of our planet
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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State-of-the-Art Image Generation Models
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…
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YOLOv5 on CPUs: Sparsifying to Achieve GPU-Level Performance
From live events to hands-on product demos to deep technical research, see what we're doing with AI at Red Hat.
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Complexity No Bar to 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.
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Google Tensor SoC debuts on the new Pixel 6 this fall
Google Tensor is our first custom-built SoC specifically for Pixel phones, and it will power the Pixel 6 and Pixel 6 Pro later this fall.
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The Hyperbolic Geometry of DMT Experiences (2016)
[Content Warning: Trying to understand the contents of this essay may be mind-warping. Proceed with caution. Featured image credit: Paul Nylander] Friends, right here and now, one quantum away, the…
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Clip: Connecting Text and Images
We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and GPT-3.
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