Membership Inference Authors, Creators & Presenters: Xinqian Wang (RMIT University), Xiaoning Liu (RMIT University), Shangqi Lai (CSIRO Data61), Xun Yi (RMIT University), Xingliang Yuan (University of ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Empowering ASEAN & global businesses to make sound data-driven decisions while ensuring privacy and compliance KUALA LUMPUR, ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...
AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.
Finance - A material prepared by Alexandru Petrescu, the President of the Financial Supervisory Authority (ASF), together with ASF specialists Marius Acatrinei and ...
Waiting for alerts is obsolete — predictive engineering lets cloud systems see trouble coming and fix it before users ever ...
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Q&A: Could light-powered computers reduce AI's energy use?
A key problem facing artificial intelligence (AI) development is the vast amount of energy the technology requires, with some ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
This study introduces a newly optimized triangular-finger electrostatic comb-drive actuator designed to significantly enhance force intensity and travel range within a compact footprint.
Xingjie Ni, associate professor of electrical engineering at Penn State, and his team recently developed a new device that can accelerate and dramatically reduce the energy cost of AI computation, ...
Aimei Yang releases ART BITE, introducing Imagination Infrastructure—food as the first human-scale interface for ...
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