Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Innovations addressing some of the world’s most pressing challenges took centre stage at the Innovator Meet Tech Exhibition ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

During his more than two decades with Nvidia, Rev Lebaredian has had a ringside seat to the show that has been the evolution of modern AI, from the ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...

Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...

Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, tiny “defects” emerge when symmetry breaks, shaping everything from cosmic ...

The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...

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