The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
Researchers identified a gene niche that promotes liver tumorigenesis and built a machine-learning score to detect it. The model predicted cancer risk and recurrence with high accuracy using non-tumor ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Interesting Engineering on MSN
Algorithms at war: 5 ways to protect your data from AI-powered malware in 2026
AI-powered malware in 2026 has evolved far beyond traditional viruses. Instead of static code, ...
A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...
The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...
Mark Zuckerberg’s court testimony that companies should build “useful” products has reignited debate on morality of algorithms ...
The Engineering Programmes at DPGU's School of Technology & Research aim to provide a balanced blend of academic rigour, practical exposure and industry alignment. By offering flexible entry points ...
Image Marina Sirota, PhD, in her lab at UCSF Mission Bay. Sirota and her team used AI to analyze pregnancy data, enabling a master's student and a ...
2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...
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