The robots are coming for health care, just like they are for virtually everything else. But in this very narrow instance, at least, that may actually be a good thing. In the spirit of a week ...

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

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

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

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

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

“To maximize the likelihood that applications and patents will be found eligible under Section 101 by the USPTO and courts [after Recentive], applicants should carefully craft a narrative of a ...

As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...

Peter Gratton, Ph.D., is a New Orleans-based editor and professor with over 20 years of experience in investing, risk management, and public policy. Peter began covering markets at Multex (Reuters) ...

What if the key to unlocking faster, more efficient machine learning workflows lies not in your algorithms but in the hardware powering them? In the world of GPUs, where raw computational power meets ...