A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...
Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the ...
The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...
The International Medical Device Regulators Forum (IMDRF) has released a draft technical document to create a harmonized set ...
14don MSN
Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at temperatures as high as ...
Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.
On one side, operations and quality leaders are under pressure to deploy machine learning that can meaningfully reduce ...
What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out of place with our traditional row homes that have been here for a hundred ...
The company uses a decade of operational data and its in-house machine-learning pricing model to protect its customers from ...
Tech Xplore on MSN
AI-based model measures atomic defects in materials
In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during ...
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