A study reveals robotic collectives that emulate living systems, with capabilities for dynamic reshaping and strength adjustment, advancing smart materials.
Researchers train a machine-learning model to identify emotions in seven ungulate species, paving the way for advancements in animal welfare and conservation.
Addressing anticipated skills shortages in artificial intelligence (AI), robotics, and automation is essential to the future ...
AI advancements in infectious disease research could revolutionize pandemic preparedness, improving outbreak prediction and ...
WPI researchers are developing an origami-inspired robotic arm to help wheelchair users grasp and carry objects, enhancing ...
Innovative robotic surgery equipment from the University of Utah enhances retinal surgery precision, addressing challenges of ...
A study published in JAMA reveals AI's superiority over manual screening in heart failure trials, enhancing patient ...
Argonne's Polybot combines AI and automation to optimize electronic polymer thin films, improving conductivity and reducing ...
AI accountability is crucial as technology advances. This article discusses liability frameworks and their role in managing ...
Research on Gnathonemus petersii shows collective active sensing enhances electrolocation, with implications for artificial ...
MIT's Ethics of Computing course addresses AI's ethical challenges, blending philosophy and computer science to prepare ...
With DSA, NASA demonstrates autonomous spacecraft swarms that adapt in real time, setting the stage for innovative lunar ...
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