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 ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...

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 ...

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

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 ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this ...