Fig. 1: Modeling qubits in a realistic way involves large-scale atomistic models with possibly amorphous materials, disorder, ...

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model ...

Advancements in machine learning are revolutionizing mass spectrometry, enhancing small-molecule identification through ...

Today, LLMs and agents learn, analyze, and make decisions in ways that can blur the line between their algorithmic “thinking” and the human mind. The approaches they are built on already mimic our ...

MIT chemical engineers have developed a machine learning model that predicts molecular solubility in organic solvents with ...