Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Indian farmers are embracing frontier technologies like AI-powered sprayers, IoT sensors, and drones to cut costs, boost ...

A magnetic microrobot navigates lung airways, drills microlesions, gathers biomarkers, and rapidly classifies cancer tissue ...

Aviation accounts for approximately 12% of global carbon dioxide emissions. With intensifying climate change and ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Cadence (Nasdaq: CDNS) today announced it has entered into a definitive agreement to acquire the Design & Engineering (“D&E”) business of Hexagon AB, which includes ...

Global automakers are accelerating their transition to manufacturing process innovation and customer-centric operations by ...

On September 16, the Pr-Nd alloy was quoted at 700,000-710,000 yuan/mt, down by 5,000 yuan/mt compared with September 15. On ...

Power remains one of the most significant bottlenecks to the real-world deployment of humanoids across potentially all industries. Limitations in battery energy density, compounded by the humanoid ...

A recent study has found that over the past decade, the growth rate of Chinese companies has been more than six times faster ...

Introduction Artificial intelligence is one of the most prominent innovations of the modern digital revolution. It has ...