Google DeepMind’s AI predicts 2 million novel chemical materials for real-world tech

Google DeepMind has utilized artificial intelligence (AI) to forecast the structure of over 2 million novel chemical materials, marking a breakthrough with potential applications for enhancing real-world technologies soon.

In a scientific paper released in the Nature Journal on Wednesday, Nov. 29, the AI company owned by Alphabet reported that nearly 400,000 of its theoretical material designs may soon undergo laboratory testing. Possible uses for this research encompass the development of batteries, solar panels, and computer chips with enhanced performance.

According to the paper, identifying and creating new materials is often expensive and time-intensive. It took approximately two…

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