It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different ...

An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to ...

For the past few years, the battle over AI, deep learning, and other HPC (High-Performance Computing) workloads has been mostly a two-horse race. It's between Nvidia, the first company to launch a ...

The use of deep learning has grown rapidly over the past decade, thanks to the adoption of cloud-based technology and use of deep learning systems in big data, according to Emergen Research, which ...

A new computing architecture enables advanced machine-learning computations to be performed on a low-power, memory-constrained edge device. The technique may enable self-driving cars to make decisions ...

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset. Neural architecture search is the task of ...