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.

Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...

When it comes to powering aircraft, jet engines need dense, energy-packed fuels. Right now, nearly all of that fuel comes ...

Key TakeawaysAutomation and AI can systematically pinpoint optimal designs among hundreds of thousands of possibilities, increasing isoprenol titers ...

Insilico Medicine has launched Science MMAI Gym, a domain-specific training infrastructure designed to transform LLMs into their best shape for drug discovery and development.

From subarctic to subtropical, Japan's varied climates present a challenge for energy-saving housing design. Adding the ...

Key market opportunities include the rising prevalence of chronic diseases and increased regulatory approvals driving demand ...

Can one AI system meaningfully improve another without going back to expensive retraining runs? In other words, can our ...

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 ...

The study shows that AI plays an equally critical role in smart grid operations, where the challenge shifts from managing single households to coordinating thousands or millions of distributed energy ...

Introduction: Optimizing fracturing parameters under multi-factor, complex conditions remains challenging in low-permeability reservoirs. Methods: We extract stage-aware construction-curve features, ...