The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...
An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system ...
Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. To address this need, a team of researchers led by the ...
Prediction markets are the future, they aren’t just having their moment. Kalshi has grown into one of the most talked-about platforms in sports and financial me ...
Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...
The tech giant’s new AI platform aims to make drug discovery faster and cleaner.
Alumna, author and machine learning expert Vivienne Ming explains why the best defense against AI's downsides is investing in ...
In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...
UniPat AI announces benchmark results for its forecasting model, EchoZ-1. 0 after testing in sandbox and live environments on Polymarket. Prediction markets are a place where individuals can trade on ...
Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...