Machine learning is a rising star in the compute constellation, and for good reason. It has the ability to not only make life more convenient – think email spam filtering, shopping recommendations, ...

Diagrams can represent details of the parallelized operations that deep-learning models consist of, revealing the relationships between algorithms and the parallelized graphics processing unit ...

Being able to deploy machine learning applications at the edge bears the promise of unlocking a multi-billion dollar market. For that to happen, hardware and software must work in tandem. Arm's ...

A new technical paper titled “A Survey on Machine Learning in Hardware Security” was published by researchers at TU Delft. Abstract “Hardware security is currently a very influential domain, where ...

Arm says that Project Trillium machine learning hardware, which remains unnamed, will be landing in RTL form sometime mid-2018. To expedite development, ...

If you’ve looked into GPU-accelerated machine learning projects, you’re certainly familiar with NVIDIA’s CUDA architecture. It also follows that you’ve checked the prices on… ...

That is to say, machine learning is a subset of AI, and deep learning is a subset of ML (see diagram). General artificial intelligence is a set of instructions that tell a computer how to act or ...

Deep Learning is probably the most popular form of machine learning at this time. Although not every problem boils down to a deep learning model, in domains such as computer vision and natural ...

Nvidia’s machine learning platform aims to increase the importance of graphics processing in the data center. Its Hyperscale Suite includes cuDNN algorithm software and GPU-accelerated FFmpeg ...

The trend so far has suggested that machine learning requires a dedicated piece of hardware, like a Neural Processing Unit (NPU), IPU, or “Neural Engine”, as Apple would call it. However, the ...