TorchStore provides a distributed, asynchronous tensor storage system built on top of Monarch actors. It enables efficient storage and retrieval of PyTorch tensors across multiple processes and nodes ...
Abstract: Recently, deep learning has attracted intensive attentions in electromagnetic society, especially for inverse problems. In this work, we propose two language-guided automatic design ...
The cpiVAE learns a shared latent representation across different proteomics platforms. The model consists of platform-specific encoders and decoders connected through a shared latent space, allowing ...
Abstract: As autonomous mobile robots begin to populate public spaces, it is becoming increasingly important for robots to accurately distinguish pedestrians and navigate safely to avoid collisions.
Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...
Meta has released another new artificial intelligence (AI) model in the Segment Anything Model (SAM) family. On Tuesday, the Menlo Park-based tech giant released SAM Audio, a large language model (LLM ...
Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...
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