KV cache compression has become a key technical challenge in AI infrastructure. As research into reducing the memory ...
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining ...
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...
Ronit Chaodhary, a 21-year-old undergraduate at Newton School of Technology, co-authored the paper “RETROSPECT: ...
At the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) in San Diego this week (December 2-7, 2025), researchers from Bloomberg’s AI Engineering group and the ...
Shanghai, August 21, 2025 — Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and efficient use depends critically on the development ...
Five students partnered with Dr. Ahmad Ghafarian, a UNG professor of computer science and cybersecurity, on the application ...
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