Using machine learning, a team of researchers in Canada has created ultrahigh-strength carbon nanolattices, resulting in a ...

Advancements in machine learning are reshaping protein structure prediction, offering efficient tools that enhance drug discovery and understanding of diseases.

Traditional 3D printing relies on trial-and-error methods, manual adjustments, and predefined settings. However, ML ...

The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and NTT Research, Inc., a division of NTT, announced the publication of research showing an application of ...

Thanks to its capacity to detect patterns and stay consistent, machine learning is a great tool for CNS behaviour studies.

A new quantum-classical approach speeds up the discovery of photochromic materials. A joint research team has developed an ...

These building blocks, which in this case are composed of carbon, are arranged in complex 3D structures called ... multi-objective Bayesian optimization machine learning algorithm.