Akida first neuromorphic IP available on the market. Inspired by the biological function of neurons and engineered on a digital logic process, the Akida’s event-based spiking neural network (SNN) ...

In this study, we demonstrate that a neural network can learn to perform phase recovery and holographic image reconstruction after appropriate training. This deep learning-based approach provides ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

AI Summit discussing how the companies are working collaboratively to enable neural network IP for edge applications. With the advent of new emerging technologies in the Intelligent Electronics & ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized ...

The underlying principle is the spiking neural network (SNN ... versus one or two hours in a conventional Wi-Fi-based product that sends image and video data to servers.

Neural shaders, as Nvidia calls them, allow developers to execute small neural networks from shader code, running them on the dedicated AI hardware available on Nvidia, AMD, Intel, and Qualcomm GPUs.

The underlying principle is the spiking neural network (SNN ... versus one or two hours in a conventional Wi-Fi-based product that sends image and video data to servers.

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

Neural Concept will showcase the latest platform advancements, address emerging engineering challenges, and present automotive and microelectronics use cases that have delivered unprecedented customer ...