How Software Can Streamline Edge AI Developer Experience

When looking at the challenges facing mass AI adoption, infrastructure and integration are among their most important aspects. They were among the top limiting factors in a 2020 O’Rielly survey.

January 12, 2022

5 Questions on the Edge (AI) with Hailo CBO Hadar Zeitlin

It is very exciting to see the increasing adoption of AI in edge applications in recent years and how the ecosystem is being built to further benefit from AI capabilities

Hadar Zeitlin , December 22, 2021

5 Questions on the Edge (AI) with Hailo CEO Orr Danon

Where do you see high-performance Edge AI making the most impact? Automotive autonomy and driver assistance (ADAS) immediately comes to mind. To make the roads safer we increasingly let technology

Orr Danon , September 22, 2021

Customer Case Study: Developing a High-Performance Application on an Embedded Edge AI Device

One of the challenges in building embedded AI applications is taking it from machine learning research environment all the way to a full application deployed on an embedded host in

Eldad Rubinstein, Software Architecture & Product Manager, and Rotem Bar Head of Embedded Applications, at Hailo , September 1, 2021

Edge ML Deep Dive: Why You Should Use Tiles in Squeeze-and-Excite Operations

This blog post presents the Tiled Squeeze-and-Excite (TSE) – a method designed to improve the deployment efficiency of the Squeeze-and-Excite (SE) operator to dataflow architecture AI accelerators like the Hailo-8

Niv Vosco , August 11, 2021

How an Open Model Zoo Can Boost Your Edge AI System Development

Edge AI system development has been propelled forward by the exciting emergence of new purpose-built processing architectures that empower us to do so much more on the edge. An important,

July 20, 2021