Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

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, ...

Scott Doty, CEO of BrainStorm Academic Solutions, notes that core structural models still reflect frameworks developed in ...

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

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, ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New machine-learning tools could help organizations flag more phishing sites before ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...