Origin E1 NPUs are individually customized to various neural networks commonly deployed in edge devices, including home appliances, smartphones, and security cameras. For products like these that ...

The NEUCHIPS RNNAccel-200/100 is a Deep Learning Accelerator IP which empower neural network inference for SoC/MCU/DSP. It is designed especially for ultra-low power applications and targeted toward ...

Their report, published in Advanced Photonics, explores the application of their newly developed Time-Wavelength Multiplexed ...

It’s a dual-core, RISC-V chip running at 400MHz. There’s 6 MB of SRAM on the CPU, and there’s 2MB for convolutional neural network acceleration. There is, apparently, WiFi on some versions.

This article was first published on spie.org, which contains a link the original Gold Open Access article by F. Yu, K. Di, et al, “Time-wavelength multiplexed photonic neural network accelerator for ...

Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...

The parts have dual Arm Cortex-A35 cores (1.3 or 1.5GHz depending on version), a 400MHz Cortex-M33 and an 0.6Top/s neural network accelerator. On board is a 400MHz VeriSilicon GC8000UL 3D GPU capable ...

SignesTrad is a revolutionary edge AI solution that bridges communication gaps between the deaf community and hearing individuals by translating French Sign Language (LSF) to text in real-time.