Nominal's first strategic acquisition brings AI-native hardware agents to the platform; Fid Labs founder Adam Wolnikowski joins as AI Product Lead ...
A good number of important scientific inquiries center on the physics of explosions. The new facility will help scientists ...
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Master your engineering labs with smart prep
Engineering labs can be a game-changer for your grades and skills—if you prepare strategically. From pre-lab reading to using structured checks, small habits can make a big difference. Learn how to ...
Building on a long-standing MIT-IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum ...
Professor David Feil-Seifer and students discuss Nevada Engineering’s new robotics master’s program, who it fits best, and ...
Seoul National University College of Engineering announced that a research team has developed a behavior-based safety ...
For three Detroit robotics teams, qualifying for a world championship is a fitting reward for the teams and a host of ...
For R&D leaders evaluating AI investments, I’d offer one piece of advice: Before spending more on models, look hard at your ...
IIT Bombay alumnus wins 2026 Camille Dreyfus Teacher-Scholar Award for excellence in research and undergraduate teaching.
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Programmable 3D-printed filaments mimic artificial muscles with heat-driven bending and twisting
Nature is replete with slender filaments that bend and coil—from climbing grape vines, to folded proteins, to elephant trunks that can pick up a peanut but also take down a tree.
Multiple theses, coding marathons, joining research labs — this is life inside China's top AI training ground.
Current approaches involve multiple tools, vendors, designs, data formats, and abstractions. Can agents really use them all?
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