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Brianna White

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Jul 30, 2019
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DeepMind has made another impressive artificial intelligence announcement with AlphaTensor, a deep reinforcement learning system that discovers algorithms to make matrix multiplications much more efficient.
Matrix multiplication is at the heart of many computational tasks, including neural networks, 3D graphics, and data compression. Therefore, there are many immediate applications for an AI system that can improve the efficiency of matrix multiplication.
To create AlphaTensor, scientists at DeepMind used AlphaZero, the deep learning system that previously mastered board games like go, chess, and shogi. At first glance, it seems that DeepMind has managed to create an AI system that is general enough to tackle a wide range of unrelated problems. Given that AlphaTensor is finding faster matrix multiplication algorithms, you can even take a more ominous view of AI systems creating better AI systems.
But a deeper reality of AlphaTensor, which has been less highlighted in its media coverage, is how the right combination of human and artificial intelligence can help find the right solutions to the right problems.
Continue reading: https://bdtechtalks.com/2022/10/10/deepmind-alphatensor/
 

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