Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

This project implements a complete event-driven spiking neural network (SNN) accelerator on FPGA with seamless PyTorch integration for training and deployment. The design uses Accumulate-only (AC) ...

Abstract: Programming based approaches to reasoning tasks have substantially expanded the types of questions models can answer about visual scenes. Yet on benchmark visual reasoning data, when models ...

We test dozens of laptops every year here at ZDNET: from the latest MacBooks to the best Windows PCs, aiming for a dual approach. On one hand, we run a series of benchmarking programs to gather ...

The Prime Collective Communications Library (PCCL) implements efficient and fault-tolerant collective communications operations such as reductions over IP and provides shared state synchronization ...