A new neural network process has designed wireless chips that can outperform existing ones.This convolutional neural network ...

These top 10 edge AI chips are designed to accelerate artificial-intelligence workloads without being power-hungry.

Similarly, in the chip, different groups of artificial neurons register spikes. The underlying principle is the spiking neural network (SNN) — where a neural network is a collection of machine ...

However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input ...

KAIST (President Kwang Hyung Lee) announced on the 17th of January that the joint research team of Professor Shinhyun Choi and Professor Young-Gyu Yoon of the School of Electrical Engineering has ...

The explosive development of machine learning (ML) and artificial intelligence (AI) is changing industries worldwide. One of ...

Neuromorphic computing is an emerging computing technology inspired by the operational principles of the human brain. By ...

Neural implants contain integrated circuits (ICs)—commonly called chips—built on silicon ... or record signals from neurons or neural networks in the brain. For study and treatment, and ...

BrainChip IP supports incremental learning, on-chip learning, and high-speed inference with unsurpassed ... Akida is an event-based technology that is inherently lower power than conventional neural ...

In July 2024, Fractile emerged from stealth, having raised $15 million in seed funding from a round co-led by Kindred Capital ...

Brain Mesh: A Distributed Network Interface to Mesoscale ... integrated circuits for next-generation neural implants. With deep expertise in chip design and a pre-validated technology platform ...