ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.
At the heart of every AI workload lies a pipeline—the process of ingesting, transforming, training, and serving data. These ...
The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum ...
The Prime Minister’s Laptop Scheme 2025 empowers students across Pakistan distributing modern MECHREVO R14P laptops.
IBM is entering a crowded and rapidly evolving market of small language models (SLMs), competing with offerings like Qwen3, ...
XDA Developers on MSN
TinyML is the most impressive piece of software you can run on any ESP32
The magic happens using the TinyML model I built, where I trained it on two weeks of data by exporting every timestamped ...
Case in point: when BlueField-4 was first hinted at in 2021, it was slated for 2024. Now it’s set for 2026 as part of ...
This opens up the door for AI development and testing on MacBooks, as well as running AI locally for assistive purposes.
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