Google DeepMind released AlphaGenome on January 28, an AI model that predicts how DNA sequences translate into biological functions, processing up to one million base-pairs at once and outperforming ...
Scientists at Google DeepMind —the company’s artificial intelligence research arm—say they’ve created an A.I. tool that can ...
Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...
Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how ...
Abstract: In this article, we consider the stabilization problem of switched systems consisting of a limited number of unknown linear subsystems regulated by unknown switching signals. To this end, we ...
Abstract: This paper presents D-band channel modeling campaigns for short-range line-of-sight (LOS) communications in representative data center and industrial environments. An accurate multipath ...
The model’s release comes five years after DeepMind introduced its seminal AlphaFold neural network. The latter algorithm can ...
Prism aims to move ChatGPT into scientific writing as OpenAI signals plans to share in future profits. Some are warning ...
DeepMind’s AlphaGenome AI model could help solve the problem of predicting how variations in noncoding DNA shape gene ...
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