The trial-to-trial variability of neuronal responses and the correlated response variability among neurons are modulated by visual stimulus size in a manner that depends on cortical layer, suggesting ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

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 ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

As the 3D content landscape continues to evolve and grow, these five trends will likely shape its trajectory in 2026.

A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

The term has left the industry divided, with definitions shaped as much by marketing as by technical consensus.

As AI demand outpaces the availability of high-quality training data, synthetic data offers a path forward. We unpack how synthetic datasets help teams overcome data scarcity to build production-ready ...

Reports record revenue of $22.7 million for the fourth quarter of 2025, an increase of $3.3 million, or 17%, compared to the same period in ...

Arts Council of Northern Ireland announces investment of £90,000 for Digital Arts projects, supported by The National Lottery and Future Screens NI.

Astronomers confirm a hot intracluster medium in JADES-ID1 at z˜5.68, revealing early massive halo heating and rapid ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.