In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...
A student team at Carle Illinois College of Medicine in Urbana has developed an AI-powered app designed to help anesthesiologists manage surgical equipment in real time. The app, called Halo, uses ...
Pambrun will advance development of NewVue EmpowerSuite™, a cloud-native platform that coalesces existing technologies ...
The NAI 2026 class of Senior Members is comprised of 230 emerging inventors from 82 NAI member institutions across the globe ...
Douglas Grossman, MD, Ph.D., co-leader of the Melanoma Center at Huntsman Cancer Institute at the University of Utah (the U) ...
Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
Datavault AI (NASDAQ: DVLT) highlighted the strategic importance of its New York and Philadelphia edge network ...
Datavault AI (NASDAQ: DVLT), a pioneer in AI driven data valuation, monetization, and quantum encrypted real world ...
What originated as a narrow procurement notice has grown into a broader effort that links machine-learning models with ...
A flexible foam sensor built from silver selenide detects temperature and pressure simultaneously, enabling a robotic gripper ...
The FBI is scaling AI in areas that generate investigative leverage, particularly biometrics and data triage, while ...
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