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 ...
Semiconductor Engineering

Object Detection CNN Suitable For Edge Processors With Limited Memory

A technical paper titled “TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers” was published by researchers at ETH Zurich. “This paper ...
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 ...
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 ...
EDN

Why MCU suppliers are teaming up with TinyML platforms

Infineon’s recent acquisition of Imagimob, a Stockholm, Sweden-based supplier of TinyML platforms, raises a fundamental question: where the chip industry stands in adopting and accelerating this ...
Diginomica

Can a piece of drywall be smart? Bringing machine learning to everyday objects with TinyML

So-called smart devices like Amazon Echo and Google Nest made early headway into our homes. But will devices as small as a vibration sensor soon outsmart an Echo? Here's a look under the hood of ...
Business Wire

BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies

ALISO VIEJO, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance artificial intelligence technology, today announced it is sponsoring and ...