Know how AI-agents in the grid optimize peer-to-peer pricing. Learn how automated trading bots within the energy stack ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Membership Inference Authors, Creators & Presenters: Zitao Chen (University of British Columbia), Karthik Pattabiraman ...

COLUMBUS, MD, UNITED STATES, January 27, 2026 /EINPresswire.com/ -- Prem Kireet Chowdary Nimmalapudi, an AI engineer, ...

Membership Inference Authors, Creators & Presenters: Xinqian Wang (RMIT University), Xiaoning Liu (RMIT University), Shangqi ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

BOCA RATON, FL, UNITED STATES, January 28, 2026 /EINPresswire.com/ -- As South Florida solidifies its reputation as a ...

ERA5 is a critical big dataset for machine learning/AI, analyzing specific historical events, and understanding ...

Microsoft validates Itransition’s AI expertise with AI Platform on Microsoft Azure specialization, recognizing its ...