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.

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

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 ...

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

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

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 ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

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

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

The power of artificial intelligence (AI) and advanced computing has made it possible to design genetic sequences encoding ...