MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

Microplastics in rivers, lakes, and oceans aren’t just drifting debris—they’re constantly leaking invisible clouds of ...

Engineers at MIT have taken a metal that usually trades strength for lightness and pushed it into an entirely new class, ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

WiseCode uses AI-driven data analysis to reveal ingredient and nutrient information, helping you make more informed shopping ...

As enterprises continue navigating the complexities of digital transformation, Rahul Jain's work reflects how thoughtful, ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

Engineers are no longer asking if AM can deliver; instead, they’re asking how to make it work reliably, affordably, and at ...

When users swipe through profiles on dating applications, their brains make split-second decisions based on limited visual information. A new study suggests that these rapid judgments rely on two ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...