Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Background and Goal: This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations in primary care practices. Study Approach: ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...