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 ...
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, ...
(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
OpenAI is rolling out new restrictions for users under the age of 18 years. If the model identify your account as under age, ...
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 ...
A collaborative research team has developed the world's first AI-based optical diagnostic platform that enables rapid and ...
The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper ...
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 ...
Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...
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