Become a Member The center’s faculty seeks active engagement toward building a robust, comprehensive, and scalable solution for an end-to-end deep learning training and model-serving architecture.

Become a Member The center’s faculty seeks active engagement toward building a robust, comprehensive, and scalable solution for an end-to-end deep learning training and model-serving architecture.

The Santa Clara, Calif.-based company announced the launch of the Nervana NNP-T1000 and NNP-I1000 chips for deep learning training and inference as well as the 2020 release window for its next ...

University of Tokyo researchers introduce ADOPT, a groundbreaking optimizer that stabilizes deep learning training across diverse applications without compromising speed. Study: ADOPT: Modified ...

This study explores the use of fluorescent nanodiamonds as physical unclonable functions (PUFs) for anticounterfeiting, ...

AWS launched EC2 P5en instances, featuring advanced NVIDIA H200 GPUs and enhanced performance for deep learning and ...

The core function of the device is to provide non-volatile storage for FPGA configuration data. FPGAs are highly flexible due to their programmable architecture, permitting them to be reconfigured to ...