MIT Technology Review

DeepMind’s game-playing AI has beaten a 50-year-old record in computer science

The new version of AlphaZero discovered a faster way to do matrix multiplication, a core problem in computing that affects thousands of everyday computer tasks. DeepMind has used its board-game ...
csdn

昆仑万维「Matrix-Game 2.0」发布，国产开源的Genie 3来啦！

8月11日，昆仑万维SkyWork AI技术发布周正式启动。8月11日至8月15日，我们每天发布一款新模型，连续五天，覆盖多模态AI核心场景的前沿模型。 DeepMind在一周前为社区带来了交互式世界模型的重大更新Genie 3，实现了交互式实时长序列生成，让世界模型备受关注 ...
证券时报官方网站

昆仑万维：正式发布并开源「Matrix-Game 2.0」模型

8月12日，昆仑万维(300418)带来自研世界模型Matrix系列中Matrix-Game交互世界模型的升级版本——「Matrix-Game 2.0」，并且为促进交互式世界模型领域的发展，「Matrix-Game 2.0」全面开源，是业内首个在通用场景上实现实时长序列交互式生成的世界模型开源方案。 「Matrix ...
heise online

AlphaTensor: AI system speeds up matrix multiplication with new algorithm

With AlphaTensor, DeepMind Technologies has presented an AI system that is supposed to independently find novel, efficient and provably correct algorithms for complex mathematical tasks. AlphaTensor ...
Ars Technica

DeepMind breaks 50-year math record using AI; new record falls a week later

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...