Deep learning requires ample data and training time. But while application development has been slow, recent successes in search, advertising, and speech recognition have many companies clamoring ...

Bias can creep in at many stages of the deep-learning process, and the standard practices in computer science aren’t designed to detect it.

Using this synthetic data, Uber sped up its neural architecture search (NAS) deep-learning optimization process by 9x. In a paper published on arXiv, the team described the system and a series of ...

Starting today, you can begin your deep learning training with NVIDIA DGX Systems’ leasing program, as low as $17/day. Resources: Lease a DGX supercomputer for as low as $17/day.

Making an Image. Ç amsari explains how p-bits work to create an image, perhaps a simple black-and-white image of a numeral in a square having 28 pixels on each side, where each 1x1-pixel square ...

Among the upstarts that fit the specialization bill for deep learning is Wave Computing, which in many ways could have served as a suitable acquisition target for an Intel (or other another party) ...

When it comes to training deep learning models, NVIDIA may be getting all the attention. However, Intel is not sitting quietly, just staring at the massive AI opportunity. It is moving fast in ...

H2O.ai, the AI Cloud leader, today announced H2O Hydrogen Torch, a deep learning training engine that makes it easy for companies of any size in any i. H2O.ai, the AI Cloud leader, ...