Researchers have adapted a two-stage sparse regression method called uniLasso to the UK Biobank, producing polygenic risk ...

The disparity resulted from investors attempting to calculate OpenAI’s performance by applying methods used for Anthropic, ...

A new technology has been developed that can rapidly predict city-scale structural damage even when portions of satellite imagery are obscured by clouds or smoke immediately after a disaster.

Black-box stochastic optimization involves sampling in both the solution and data spaces. Traditional variance reduction methods mainly designed for reducing the data sampling noise may suffer from ...

Professor Ahaz von Härdenberg of the Department of Earth and Environmental Sciences at Italy’s University of Pavia received ...

Urban air pollution poses increasing risks to public health and environmental sustainability, motivating more automated, data-driven management. Large Language Models (LLMs) offer promise for such ...

A flash flood can devastate a community for years in a matter of minutes. These disasters account for roughly 85% of floods ...

OpenAI’s annualised revenue was approaching $50 billion at the end of September, about $20 billion below figures reported ...

OpenAI has reportedly told investors its annualised revenue is approaching $50 billion, below an earlier $70 billion estimate ...

The difference stems from how the two companies recognise revenue generated through third-party cloud platforms. Anthropic includes sales made through partners ...

Efficiently harnessing entanglement for precise measurements has long been hampered by inaccuracies in calibrating reference ...

Researchers in Bonn show that the widely used birdbath method can fail for radar calibration and present a new reflectivity ...