Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

World models are AI systems that understand physics, space, and cause-and-effect—unlike chatbots that only predict text. Tech ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

A new study from the University at Albany shows that artificial intelligence systems may organize information in far more ...

Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

Dengue is becoming a bigger challenge in many parts of the world, including Latin America, as the factors that influence mosquito-borne disease continue to shift. McCord noted that in the Amazon and ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

Discover the leading AI code review tools reshaping DevOps practices in 2026, enhancing code quality, security, and team productivity with automated solutions.

Sesha Sai Sravanthi Valiveti is a software engineering professional with 8+ years of experience delivering enterprise-scale digital solutions, specializing in application modernization, DevOps-driven ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...