In their paper published in Science in December 2021, a DeepMind team showed how neural networks can be used to describe electron interactions in chemical systems more accurately than existing methods. A team of researchers from Skoltech, Zelinsky Institute of Organic Chemistry, HSE University, Yandex, and Kyungpook National University show in their comment in Science that DeepMind AI’s ability to generalize the behavior of such systems does not follow from the published results and requires revisiting.
Click here for original story, Scientists doubt that DeepMind’s AI is as good for fractional-charge systems as it seems
Source: Phys.org