The 2026 Consumer Electronics Show (CES) at the Las Vegas Convention Center (LVCC) is fading into the past, but its impact continues to grow. This is my take on this year’s CES, albeit one that ...
AI Center of Excellence for its Bangalore office. This role focuses on designing, developing, and deploying cloud-based ...
Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...
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 ...
Forbes contributors publish independent expert analyses and insights. Originally developed by Anyscale, Ray is an open source distributed computing framework for AI workloads, including data ...
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 ...
Current design not working too well. For example, we think Inductor doesn't guarantee a way to get FakeTensors for an IR node, but we rely on needing that. In PyTorch 2.9 we're going to monkeypatch ...
Section 1. Purpose and Policy. America has long led the world in innovation, technological advancement, and design. But with a sprawling ecosystem of digital services offered to Americans, the ...
AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...
Designing neuromorphic sensory processing units (NSPUs) based on Temporal Neural Networks (TNNs) is a highly challenging task due to the reliance on manual, labor-intensive hardware development ...
I’d like to learn from PyTorch’s experience in designing feature flags to enable custom implementation. Could you help me resolve the following questions, or provide related resources for my reference ...
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