Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...
The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.
Enterprises face challenges in preparing data for generative AI due to data quality and accessibility issues. Gartner ...
Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Morning Overview on MSN
Physics-trained AI models speed up engineering simulations and design work
Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...
Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...
In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
19hOpinion
Supreme Court Justice Reveals Personal Opinions About AI But Doing So Raises Thorny Questions
Should U.S. Supreme Court Justices be sharing their views about AI? Some say yes, others insist no. I discuss the matter and ...
A team of scientists at The University of Texas Medical Branch (UTMB), led by Nikos Vasilakis, Ph.D., and Peter McCaffrey, MD ...
Tech Xplore on MSN
Compression technique makes AI models leaner and faster while they're still learning
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
State-of-the-industry report finds that, despite the limitations of artificial-intelligence systems, researchers have embraced them.
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