19 AI-infused apps that prove NPUs are already changing how we work

NPUs expand the capabilities of modern notebooks and accelerate AI services and functions. More and more applications are ...
9to5Mac

Turn your Mac into a local ChatGPT with OpenAI’s new free model

First, gpt-oss comes in two flavors: gpt-oss-20b and gpt-oss-120b. The former is described as a medium open weight model, while the latter is considered a heavy open weight model. The medium model is ...
Semiconductor Engineering

Deploying PyTorch Models On Edge Devices

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 ...
IEEE

A Real-time Detection Embedded Edge Computing System Based on SNN-ONNX Model Deployment Inference

Abstract: With the development of neural network technology, Spiking Neural Networks (SNNs) have shown great potential in edge computing and embedded systems due to their biologically inspired and low ...
ZDNet

How to add EPUB, MOBI, and PDF files to your Kindle - no converting required

Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the ...
GitHub

Blank output issue with CUDAExecutionProvider - Onnx Model Converted to fp16

When running a UNet segmentation model that has been converted to ONNX format with FP16 precision, using the CUDAExecutionProvider, the output appears to be blank. This issue is encountered during the ...
GitHub

Discrepancy in Outputs When Converting to ONNX using torch.autocast with float16

I converted a PyTorch model to ONNX inside torch.autocast(device_type="cpu", dtype=torch.float16) context. When running inference on both the original and converted models, I observed that the ...