Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
The calculation and/or the measurement of the thermal conductivity of materials is a fundamental challenge in materials science, essential for developing technologies in energy management, electronics ...
Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...
Use of a large language model (LLM) for pan-cancer automated detection of anti-cancer therapy toxicities and translational toxicity research. Computational pathology to predict docetaxel benefit in ...
GA, UNITED KINGDOM, January 29, 2026 /EINPresswire.com/ — Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using ...
Evan Hackstadt is a computer science major with minors in biology and math. He is a 2025-26 health care ethics intern at the Markkula Center for Applied Ethics at Santa Clara University. Views are his ...
Researchers have unveiled an interpretable, lightweight AI text detection framework using classical machine learning models that achieves near-perfect accuracy while lowering computational costs.
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