Over the last few years the idea of “conditional computation” has been key to making neural network processing more efficient, even though much of the hardware ecosystem has focused on general purpose ...

In this video from FOSDEM 2020, Frank McQuillan from Pivotal presents: Efficient Model Selection for Deep Neural Networks on Massively Parallel Processing Databases. In this session we will present an ...

So, let’s start with the basics. A Neural Processing Unit is a specialized chip designed to accelerate artificial intelligence (AI) tasks, particularly neural network computations.

Brain-inspired Spiking Neural Networks (SNN) and the parallel hardware necessary to exploit their full potential have promising features for robotic application. Besides the most obvious platform for ...

Supported neural networks will include MobileNetV2, ResNet-50 and VGG16. In addition, the new SDK release will include a TVM-based scheduler for automatically compiling and deploying AI models.

All-optical neural network for deep learning New approach could enable parallel computation with light Date: August 29, 2019 Source: The Optical Society Summary: In a key step toward making large ...

"New data processing module makes deep neural networks smarter." ScienceDaily. ScienceDaily, 17 September 2020. <www.sciencedaily.com / releases / 2020 / 09 / 200916131103.htm>.

Microsoft's Cortana and Google's various digital assistants have benefited from the advantages of being based on neural networks long before Apple's Siri made the switch to the superior tech in 2014.