Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...
Machine learning helped identify new superconductors and a process that could speed the discovery of thousands more ...
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Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.
Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
ICML 2026 opens in Seoul on July 6 with a record 23,918 submissions — more than double last year — and a research program ...
By Norihiko Shirouzu July 1 (Reuters) - Autonomous-driving startup Wayve is riding a tide of investor interest. The ...
Robot skill library ASPIRE — released June 29 by NVIDIA and collaborators — gives robots persistent memory by storing every debugging fix as a named, reusable code pattern. It pushed bimanual handover ...
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