This is an in-person hackathon in San Francisco for selected participants. Capacity is limited to 30 teams, teams must include 3–5 members, and there is no online or hybrid participation. Build ...

Ultra Wide Band (UWB) technology has a wide range of applications in indoor positioning due to its high precision and strong anti-interference ability. However, in complex indoor environments, UWB ...

F. Gama, A. G. Marques, G. Leus, and A. Ribeiro, "Convolutional Neural Network Architectures for Signals Supported on Graphs," IEEE Trans. Signal Process., vol. 67 ...

Spiking neural network simulations are a central tool in Computational Neuroscience, Artificial Intelligence, and Neuromorphic Engineering research. A broad range of simulators and software frameworks ...

This repository runs hyperparameter optimization on tuning pretrained models from the PyTorch model zoo to classify images of cars in the Stanford Cars dataset. This repository offers the option to ...

In February, we announced DeepSpeed, an open-source deep learning training optimization library, and ZeRO (Zero Redundancy Optimizer), a novel memory optimization technology in the library, which ...