The buzz around artificial intelligence in healthcare hasn’t waned, and for major companies to keep up, they must invest in key applications. | This week on "Podnosis," we explore how Elevance Health ...

Students aspiring for careers in AIML, researchers exploring AI-driven solutions, faculty seeking structured knowledge, ...

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

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

IIT Kanpur AI Course: If you want to learn Artificial Intelligence (AI) skills in a short time, there's good news for you.

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

IIT Guwahati researchers, with UK collaborators, have used Machine Learning to design advanced, high-performance metal alloys without relying on Critical Raw Materials (CRMs), creating a sustainable ...

The IAEA is inviting interested partners to participate in a new five-year Coordinated Research Project (CRP) aimed at advancing plasma science, technology and applications in health, agriculture, ...

Raja Shankar, VP of machine learning at IQVIA, explains how AI-driven trial simulation and automation are beginning to influence decision-making across every phase of clinical development.

Generative AI in medtech raises questions on safety, validation, and regulatory challenges, explored in MD&M West's "GenMLP" session.

Moving from legacy, rules-based systems to AI-driven protection isn’t as simple as switching on new technology.

Apple did not say how it will use Q.ai’s technology but said the startup has worked on new applications of machine learning to help devices understand whispered speech and to enhance audio in ...