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 ...
The Next Web

Here’s how deep learning helps computers detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
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 ...
EurekAlert!

New review article highlights CNN-based dynamic obstacle detection for autonomous driving safety

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems ...
Semiconductor Engineering

Embedded Automotive Platforms: Evaluating Power And Performance Of Image Classification And Objects Detection CNNs

A technical paper titled “Performance/power assessment of CNN packages on embedded automotive platforms” was published by researchers at University of Modena and Reggio Emilia. “The rise of ...