From detecting pancreatic cancer three years early to recognising 18 tumour types from a handful of tissue slides, AI is transforming medicine. Here is a comprehensive guide to the breakthroughs, the ...

The next wave of robotics depends on unifying code and hardware—embedding AI directly into the deterministic systems that ...

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

Researchers developed a flexible AI computing patch that analyzes health data directly on the body, enabling near-instant ...

Precision neurostimulation leverages AI and closed-loop feedback, delivering tailored treatments for neurological disorders ...

For a child diagnosed with neuroblastoma—the most common infant cancer, occurring when early nerve cells grow out of ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Conventional robots navigate much like humans do, relying on detailed maps of the area they are in to get around. This allows the robot to maintain an accurate estimate of its own location, but comes ...

Physics-informed neural networks (PINNs) have shown remarkable prospects in solving forward and inverse problems involving partial differential equations (PDEs). But they often stumble when ...

A Chinese research team has achieved a breakthrough in improving the training efficiency of Graph Neural Networks (GNNs). They introduced an ...

This list does not aim to be exhaustive, as implicit neural representations are a rapidly growing research field with hundreds of papers to date. Instead, it lists the papers that I give my students ...

Turbulent times This visualization of fluid flow was made using laser-induced fluorescence. (Courtesy: C Fukushima and J Westerweel/Technical University of Delft/CC BY 3.0) The Navier–Stokes partial ...