Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...

In a study published in npj Digital Medicine, a team of researchers led by the University of Michigan developed a machine learning model that identified 17 environmental and social factors that can ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

A new analysis of gene expression in blood samples suggests that specific biological signs of Parkinson’s disease are ...

What makes Darnold's presence in the Super Bowl worth lingering over: It allows the possibility that the first story we told ...

New research shows mutual funds using machine learning strategies generate significant outperformance over traditional funds ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Researchers, including Professor of Management and Organization Reuben Hurst at the University of Maryland's Robert H. Smith School of Business, have produced VRscores, an unprecedented public ...

A firm that wants to use a large language model (LLM) to summarize sales reports or triage customer inquiries can choose between hundreds of unique LLMs with dozens of model variations, each with ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...