GPT-Style AI Learns to Simulate Particle Tracks in Silicon Detectors
Physicists have used a GPT-style transformer to generate silicon tracker hits for the first time, achieving tracking performance comparable to ...
Physicists have used a GPT-style transformer to generate silicon tracker hits for the first time, achieving tracking performance comparable to ...
Researchers have developed DPAS-Net, a deep learning framework that maintains remarkably accurate multi-view clustering even when up to 90 percent ...
A new deep reinforcement learning framework published in Cluster Computing enables cloud networks to dynamically recompose their services in real ...
Chinese researchers show that DNA methylation patterns in pulp-free teeth can estimate a person's age with a mean error of ...
An explainable machine learning analysis of 2,612 S&P 1500 firm-year observations finds that company size is the dominant predictor of ...
A new framework called ARCHEX uses archetypal analysis to reveal global structural patterns in machine learning models that local explanation ...
A two-year network of 114 sensors across the Greater Toronto Area, combined with Bayesian synthetic heatwave simulation and machine learning, ...
Finnish researchers have built an explainable machine learning framework that segments B2B customers, predicts purchases with F1-scores above 0.92, and ...
A study of 288 Ghanaian teacher trainees using double machine learning finds that openness, not conscientiousness, is the strongest personality ...
A handheld near-infrared spectrometer combined with a new bilinear surface model and covariance-guided sampling predicts five gluten quality indicators in ...
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© 2025 Scienmag - Science Magazine