Brain-inspired Spiking Neural Networks (SNN) and the parallel hardware necessary to exploit their full potential have promising features for robotic application. “Animal brains still outperform even ...

A new technical paper titled “Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration” was published by imec, TU Delft and University of ...

A new breed of system-on-chips (SoCs) serving speech recognition, voice-print recognition, and deep speech noise reduction is starting to employ analog in-memory computing solutions for simultaneously ...

Figure 1: Schematic of the STM-PRC architecture. Each node in the network is assigned an independent reservoir. The reservoir corresponding to SL6 (denoted as R6) is shown here as an example. Its ...

San Diego, Nov. 24, 2025 – Kneron, a San Diego-based company developing neural processing units (NPUs) for AI, today announced its KL1140 chip. It is built to bring LLMs to edge devices, delivering up ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...