Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.
From subarctic to subtropical, Japan's varied climates present a challenge for energy-saving housing design. Adding the ...
Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...
This paper addresses carrier aircraft landing scheduling considering bolting and aerial refueling. It defines fuel and wake interval constraints, formulates a combinatorial optimization model, and ...
Can one AI system meaningfully improve another without going back to expensive retraining runs? In other words, can our ...
From subarctic to subtropical, Japan's varied climates present a challenge for energy-saving housing design. Adding the projected effects of climate ...
Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...
AI will serve humanity only if we endow our creations with moral restraint rather than mathematical optimization.
Scientific progress devoid of moral reflection risks repeating past injustices ...
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