As AI models migrate from secure data centers to exposed edge devices, a new threat vector has emerged: model theft. Popat identified this vulnerability early, pioneering a novel defense mechanism ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...
An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...
A 'learner,' 'interpreter' and 'oracle' work together with minimal experiments to draw parallels between historical data and new battery designs A ...
Cambridge researchers have become the first to combine multiple image types—RGB (that mimics human vision), depth and ...
Abstract: The accurate identification of equipment base versions in Metering Automation System 3.0 (MAS 3.0) is critical for ensuring interoperability and maintenance efficiency in modern smart grids.
Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.
Abstract: The accurate characterization of signal propagation is critical for optimizing wireless network performance and supporting applications such as electromagnetic field (EMF) exposure ...
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