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.

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 ...

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

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

AI will serve humanity only if we endow our creations with moral restraint rather than mathematical optimization.

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

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

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

This whitepaper explores the role of process analytical technology (PAT) in enhancing the efficiency of upstream ...

The groundbreaking DNA formatting discovery pinpointed specific mutations (RNU4-2 mutations) in DNA segments that process genetic information. While 30–50% of RP cases lacked an apparent reason, the ...