The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
Tech Xplore on MSN
Reliability-aware AI opens path to faster cathode design and next-generation batteries
The power that makes electric vehicles travel farther and smartphones last longer comes from battery materials. Among them, ...
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 ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Ford Pro is leveraging AI and data to shift routine maintenance from when the service shop is open to whenever the vehicle is idle, promising fleets unprecedented uptime and ...
Erran Berger, VP of product engineering at LinkedIn, and team set to develop a highly detailed product policy document to ...
Study Finds on MSN
15 Predictions For The Biggest Research Breakthroughs In 2026
In A Nutshell Personalized AI “health agents,” virtual drug trials, and automated compliance tools could quietly speed up ...
AI: How does this technological revolution fit with the pharmaceutical regulators who oversee the pharmaceutical sector at ...
What if traffic could compute? This may sound strange, but researchers at Tohoku University's WPI-AIMR have unveiled a bold ...
Scientists from the Departments of Inorganic Chemistry and Chemical Engineering of the University of Malaga participate in an international ...
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