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.
On the outskirts of Fallon, New Millennium's steel joist manufacturing plant operates as a testament to modern industrial ...
New insights into how and why people choose to adopt cloud computing services is reported in the International Journal of ...
Power remains one of the most significant bottlenecks to the real-world deployment of humanoids across potentially all ...
A recent study has found that over the past decade, the growth rate of Chinese companies has been more than six times faster ...
Zhuzhou Deepzhou Intelligent Technology Co., Ltd. recently announced a patent application titled "A Robot Workstation for Processing Irregular Materials," with the publication number CN120664281A, and ...
According to the latest information from the National Intellectual Property Administration, Guangzhou Mu Wei Technology Co., Ltd. applied for a patent titled "Positioning Method, Device, Equipment, ...
The technology sector is seeing its steepest job cuts in decades. More than 166,000 workers have already been laid off in ...
Beneath West Antarctica’s Dotson Ice Shelf, scientists have mapped a hidden landscape—vast, teardrop-shaped patterns etched into the ice by ocean motion. What they found could sharpen ... Continue Rea ...
Ensuring the structural safety of bridges, tunnels, construction machinery, and other critical infrastructure is essential for public safety, economic ...
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