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.
The Citizen on MSN
NM-AIST students develop AI-powered robot to inspect beverage bottles
A team of three students from the Nelson Mandela African Institution of Science and Technology (NM-AIST) has designed a ...
Stacker compiled a list of the best colleges in America using 2026 rankings from Niche, which ranks schools on academics, ...
Below are summaries and associated information for the individual projects that have been funded at Heriot-Watt under the 'Evidence for Enhancement: Improving the Student Experience' Enhancement Theme ...
Both of DeepMind's new robotic AIs are built on the Gemini foundation models but have been fine-tuned with data that adapts ...
Interesting Engineering on MSN
Scientists build insect-inspired robots that float, paddle, and stride on water surfaces
Scientists build insect-inspired soft robots on water using HydroSpread, a new fabrication method for flexible films.
Interesting Engineering on MSN
Video: 'Anti-gravity mode' lets China’s humanoid robot survive repeated kicks
Unitree’s G1 robot can take hits, falls, and shoves, then quickly get back on its feet thanks to Anti-Gravity mode.
With RoboBallet, the complexity of computation also grew with the complexity of the system, but at a far slower rate. (The computations grew linearly with the growing number of tasks and obstacles, ...
A swarm of spherical rovers, blown by the wind like tumbleweeds, could enable large-scale and low-cost exploration of the ...
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