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 ...

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 ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

IIT Guwahati develops model predicting new glacial lakes in Eastern Himalayas, aiding flood risk management and water resource planning.

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

A new study has demonstrated how networks of spiking nanolasers could emulate a key principle of brain function: to imagine ...

AutoDiscovery, formerly AutoDS, is now available in AstaLabs, part of the scientific AI ecosystem from Ai2 named Asta that allows the analysis, summarization and search of more than 108 million ...

Wayve has launched GAIA-3, a generative foundation model for stress testing autonomous driving models. Aniruddha Kembhavi, Director of Science Strategy at Wayve, explains how this could advance ...

Guwahati have developed a predictive framework that has identified 492 locations where glacial lakes are likely to form in the ...

While Palo Alto Networks fell amid the rotation away from tech, the smart money is driving optimism in the options market for PANW stock.

Chris Petrillo, Principal Product Manager at Wikimedia Enterprise, talked about AI bots, human editors and the convergence of ...

An EEG (electroencephalogram) is a painless test that uses small sensors placed on the scalp to measure the brain's ...