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

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

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

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Every CEO in the Fortune 500 has issued some version of the same mandate: We need an AI strategy. Most of them have also ...

A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...

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 ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

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 ...

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

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