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DALL·E: Creating Images from Text
We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language.
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ImageNet contains naturally occurring Apple NeuralHash collisions
Apple’s NeuralHash: real-world collisions, false positives, and implications for CSAM detection. See what this means for system reliability.
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Mozilla Common Voice Adds 16 New Languages and 4,600 New Hours of Speech
The Mozilla Common Voice initiative has released a new, expanded data set featuring 16 new languages — like Basaa and Kazakh — and 4,622 new hours of sp…
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Monkey MindPong
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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Autonomous drone navigates independently through the forest at 40 km/h
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OpenAI Codex
We’ve created an improved version of OpenAI Codex, our AI system that translates natural language to code, and we are releasing it through our API in private beta starting today.
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Find anything fast with Google's vector search technology
Recently, Google Cloud partner Groovenauts, Inc. published a live demo of MatchIt Fast . As the demo shows, you can find images and text similar to a selected sample from a collection of millions in a matter of milliseconds:
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Open-sourcing the MuJoCo physics simulator for robotics
When you walk, your feet make contact with the ground. When you write, your fingers make contact with the pen. Physical contacts are what makes interaction with the world possible. Yet, for such a common occurrence, contact is a surprisingly complex phenomenon. Taking place at microscopic scales at the interface of…
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Triton: Open-Source GPU Programming for Neural Networks
We’re releasing Triton 1.0, an open-source Python-like programming language which enables researchers with no CUDA experience to write highly efficient GPU code—most of the time on par with what an expert would be able to produce.
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OpenAI’s API now available with no waitlist
Wider availability made possible by safety progress.
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Redefining what a map can be with new information and AI
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.
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Alien Dreams: An Emerging Art Scene
Machine Learning at Berkeley is a student organization at UC Berkeley. Click to read ML@B Blog, by Machine Learning at Berkeley, a Substack publication with thousands of subscribers.
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SoundStream: An End-to-End Neural Audio Codec
Posted by Neil Zeghidour, Research Scientist and Marco Tagliasacchi, Staff Research Scientist, Google Research Audio codecs are used to efficiently...
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LaMDA: Google's New Conversation Technology
LaMDA adds pieces to one of the most tantalizing sections of the language puzzle: conversation.
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Generally capable agents emerge from open-ended play
In recent years, artificial intelligence agents have succeeded in a range of complex game environments. For instance, AlphaZero beat world-champion programs in chess, shogi, and Go after starting out with knowing no more than the basic rules of how to play. Through reinforcement learning (RL), this single system…
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Learning Machine Learning for Game Development
Posted by Ji Hun Kim and Richard Wu, Software Engineers, Stadia Over the years, online multiplayer games have exploded in popularity, captivating m...
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YouTube algorithm recommends videos that violate its own policies: study
Conducted using data donated by thousands of YouTube users, research reveals the algorithm is recommending videos with misinformation, violent content, …
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MUM: A new AI milestone for understanding information
Our latest AI milestone, Multitask Unified Model, has the potential to take Google’s information understanding to a new level.
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On YouTube’s recommendation system
How YouTube's recommendation system works: Understand how videos are suggested and how to optimize your content for discovery.
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