Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

Engineers at NIMS Develop a System That Captures All the Elements of Trial and Error in Material Design, Enabling Reliable ...

Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

A comprehensive review of laser additive manufacturing (LAM) of metallic lattice structures demonstrates how advanced design strategies, processing control, and material innovations significantly ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

A new study shows that combining machine learning with advanced material engineering can significantly improve the ...

The clever Bean Adapt system built into this $2,500 machine allows it to automatically craft perfect coffee drinks with ...