Alif Semiconductor has announced that its latest Ensemble microcontroller products are now compatible with Meta’s ExecuTorch ...

After months of waiting, more affordable versions of the Tesla Model 3 and Model Y have finally arrived. Going forward—at least until Elon Musk changes things—both of the cheaper versions of the ...

Midtown’s office-to-residential conversion boom continues. Developer Vanbarton Group announced last week it had acquired the building at 6 East 43rd Street after securing a $300 million loan from ...

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After months of staying in public preview, Microsoft launched Windows ML yesterday for developers building AI-powered apps on Windows 11. For the uninitiated, it is a built-in AI inferencing runtime ...

!pip -q install "transformers>=4.49" "optimum[onnxruntime]>=1.20.0" "datasets>=2.20" "evaluate>=0.4" accelerate from pathlib import Path import os, time, numpy as np ...

Abstract: This paper develops an analytical model of the bidirectional AC-AC Dual Active Bridge (DAB) converter. The passive components of the AC-AC DAB are subject to grid, switching, and sideband ...

In fect, we had tried the torch pt->onnx-> tensorrt fp16 pipeline to convert pytorch AMP trained checkpoint into trt model format, but the inference results are noisey. while pt->onnx-> tensorrt fp32 ...

Abstract: Among the various control strategies for complex dc–dc converters, those employing neural networks have risen to prominence. They excel in their ability to approximate functions without the ...

Discover how Torch-TensorRT optimizes PyTorch models for NVIDIA GPUs, doubling inference speed for diffusion models with minimal code changes. NVIDIA's recent advancements in AI model optimization ...

I am trying to quantize pytroch and onnx models. The quantization API performs mixed precision on default with fp32+int8+bf16+fp16 data types. However, I wanted to obtain baseline int8 accuracy of ...