Nvidia plans a major software update that will expand DGX Spark’s role in local AI workloads.

Abstract: Quantization techniques are recognized for their effective in optimizing large language models. However, their application in smaller language models, such as those used for face recognition ...

ABSTRACT: We derive nonrelativistic quantum mechanics directly from NUVO scalar geometry without probabilistic postulates. Starting from the conformal metric g= λ 2 η and the conservation of sinertia ...

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 ...

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 ...

Soumith Chintala, who co-created Meta Platforms’ open-source machine learning library PyTorch, is leaving the company, according to three people with direct knowledge of the matter. He joined Facebook ...

The PyTorch team at Meta, stewards of the PyTorch open source machine learning framework, has unveiled Monarch, a distributed programming framework intended to bring the simplicity of PyTorch to ...

The deployment of Spiking Neural Networks (SNNs) on resource-constrained edge devices is hindered by a critical algorithm-hardware mismatch: a fundamental trade-off between the accuracy degradation ...

1 CNRS, Univ. Lille, UMR 8163 - STL - Savoirs Textes Langage, Lille, France 2 Univ. Lille, UMR 9189 - CRIStAL - Centre de Recherche en Informatique Signal et Automatique de Lille, Lille, France In the ...

The trio was awarded the prize for research on quantum tunneling, the second year in a row that IT-related work was honored. In a boost to the profile of quantum computing, the Nobel Prize Committee ...