Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

When it comes to deploying machine learning (ML) models in the enterprise, optimization and acceleration – that is, deploying better and faster – are the keys to cost and time savings. But ...

Machine learning deals with software systems capable of changing in response to training data. A prominent style of architecture is known as the neural network, a form of so-called deep learning.

Both generative AI and machine learning use algorithms to address complex challenges, but generative AI uses more sophisticated modeling and more advanced algorithms to add a creative element ...

Embedded machine learning functions by installing machine learning capacities directly onto devices, like smartphones, negating the need for continuous cloud access.

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Oh-Hyeon Choung, Riccardo Vianello, Marwin Segler, Nikolaus Stiefl, and José Jiménez-Luna, Extracting medicinal chemistry intuition via preference machine learning, Nature Communications, (2023 ...