Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

When engineers and planners design roads, bridges and dams, they rely on hydrological models intended to protect ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Palo Alto Networks is in talks to buy Washington D.C-based endpoint security startup Koi for $400 million. Koi is focused on ...

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

Discover how behavioral modeling helps predict consumer actions using spending data, enabling businesses to refine targeting and enhance risk assessment.

Diffuse and direct radiation distribution are crucial for the design and construction of photovoltaic power systems. However, due to the high cost and relatively complex maintenance, there are ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.