Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...

AI’s appeal lies in its ability to handle high-impact, low-probability events. Extreme weather disasters fall squarely into ...

Robots have long excelled at repetitive factory work welding, picking, placing, and packaging yet they’ve struggled with the ...

The study identifies three core domains where AI is increasingly embedded in local energy systems. The first is forecasting ...

Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...

We’re witnessing a collision between AI’s growing sophistication and natural intelligence’s vulnerabilities, which leads to ...

What if an authority figure directed you to pull a lever that delivered a painful shock to an unseen victim? If you’re like ...

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

A wearable AI neck device translates silent throat vibrations into fluent speech, improving communication and satisfaction ...

Md Firoz Kabir, a PhD researcher in Information Technology, is emerging as a leading voice in artificial intelligence-driven ...