Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

AI-based modeling of geopolymer concrete emissions offers a breakthrough in sustainable construction, optimizing GGBFS use ...

Beacon Biosignals, a leader in AI-driven neurophysiology and precision drug development, today announced a collaboration with Harmony Biosciences (Nasdaq: HRMY), a pharmaceutical company dedicated to ...

A new study suggests that children with ADHD may exhibit a distinctive, measurable pattern of brain activity that could reflect differences in neural efficiency.

At ELRIG 2025 Dr Barak Gilboa of Novo Nordisk unveiled a suite of AI-enabled approaches that turn brightfield microscopy from ...

Google Research has unveiled Titans, a neural architecture using test-time training to actively memorize data, achieving effective recall at 2 million tokens.

The fully mobile MEG scanner awarded £3.1m of government funding will be used across military training sites. Scientists will develop the world's first fully mobile brain scanner capable of measuring ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

For decades, networks have been built on the same fundamental principle: dedicated hardware appliances for each network function. Need a firewall? Buy a box. Need load balancing? Purchase another ...

Cornell University researchers have developed a low-power microchip they call a "microwave brain," the first processor to compute on both ultrafast data signals and wireless communication signals by ...

Abstract: Surrogate-assisted evolutionary algorithms have primarily concentrated on reducing computational expenses in the domain of costly constrained optimization. This research introduces a neural ...