The problem of "Out-of-Distribution" (OOD) is central here. Think of AI as a driver who knows only known roads. So, faced with an unknown path, it forces entry into its existing maps rather than ...

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

Explore essential statistical strategies for accurate protein quantification and differential expression analysis.

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 ...

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

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

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 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 ...

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

Declares a regular quarterly cash dividend of $0.20 per share of common stock for the fourth quarter of 2025, payable on March 6, 2026.