The RA8P1 is intended for edge and endpoint AI applications, using the Ethos-U55 NPU to offload the CPU for compute intensive ...

Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today introduced the ...

Group targeted at Artificial Intelligence (AI) and Machine Learning (ML) applications, as well as real-time analytics.

Renesas Electronics Corporation, a supplier of advanced semiconductor solutions, has introduced the RA8P1 microcontroller ...

I am currently trying to estimate potential throughput increase with implementing EAGLE-3 and noticed that the quantized model actually performs worse that non-quantized if speculative decoding is not ...

Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these models to their ...

Nowadays, the deployment of intelligent networks on hardware devices for real-time applications is gaining popularity in both academia and industry. However, on-chip resources and power consumption ...

When using pytorch nn.Resize the exported ONNX model works fine but when I quantize the ONNX model for QNN I get the following error: onnxruntime.capi.onnxruntime_pybind11_state.Fail: ...