IEEE

A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity

Abstract: Training deep/convolutional neural networks (DNNs/CNNs) requires a large amount of memory and iterative computation, which necessitates speedup and energy reduction, especially for edge ...
The Business Journals

South University opens health care training facility in High Point

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min The 13,600-square-foot space ...
IEEE

Adversarial Training on Point Clouds for Sim-to-Real 3D Object Detection

Abstract: In this work we address the problem of 3D object detection from point clouds in data-limited environments. Training with simulated data is a common approach in such scenarios; however a ...
theregister

GitHub hits CTRL-Z, decides it will train its AI with user data after all

Microsoft's GitHub next month plans to begin using customer interaction data – "specifically inputs, outputs, code snippets, and associated context" – to train its AI models. The code locker’s revised ...