EDN

Ceva unveils edge AI NPUs for tinyML

Ceva, Inc. has extended its Ceva-NeuPro family of edge AI NPUs with the launch of Ceva-NeuPro-Nano. These highly-efficient NPUs claim the power, performance and cost efficiencies needed to integrate ...
Electronic Design

Developing Neuromorphic Devices for TinyML

A look at the latest generation of neural networks called spike neural networks (SNNs), their operation, and the hardware necessary to run those algorithms. The variety of advantages SNNs have over ...
Electronic Design

Can tinyML Bring Machine Learning to the Masses?

How tinyML differs from mainstream machine learning. How tinyML is being applied. What are some of the better-known tinyML frameworks, and where can you get more information? In the ebb and flow of ...
The Next Web

TinyML is bringing deep learning models to microcontrollers

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Deep learning models owe their initial success to large ...
Design-Reuse

Ceva Extends its Smart Edge IP Leadership, Adding New TinyML Optimized NPUs for AIoT Devices to Enable Edge AI Everywhere

Ceva, Inc. (NASDAQ: CEVA), the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and efficiently, today announced that it has ...
The Next Web

FOMO is a TinyML neural network for real-time object detection

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...
Design-Reuse

Efinix Releases TinyML Platform for Highly Accelerated AI Workloads on Its Efficient FPGAs

Quad-Core, Linux-Capable RISC-V Uses Custom Instruction Capability to Achieve AI Acceleration SANTA CLARA, Calif.—Nov 16, 2022—Efinix®, an innovator in programmable product platforms and technology, ...