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 ...

We present a novel software feature for the BrainScaleS-2 accelerated neuromorphic platform that facilitates the partitioned emulation of large-scale spiking neural networks. This approach is well ...

If you are interested in learning more about how the latest Llama 3 large language model (LLM)was built by the developer and team at Meta in simple terms. You are sure to enjoy this quick overview ...

Large machine learning (ML) models with improved predictions have become widely available in the chemical sciences. Unfortunately, these models do not protect the privacy necessary within commercial ...

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 ...

Recent advances in deep learning have been driven by ever-increasing model sizes, with networks growing to millions or even billions of parameters. Such enormous models call for fast and ...