Mobileye

The frontier of physical AI isn't the open road, but the long tail.

Every day there are new examples of edge cases challenging the scaling of autonomous driving. The industry needs a smarter way to scale – systems that are designed to identify the failures that matter most, understand why they matter, and systematically train against them.

Today, we're sharing how Mobileye is tackling the “long tail” problem in autonomous driving with two new proprietary AI tools: Meteor and Genario.

Rather than relying only on more data and compute, these systems are designed to identify rare but meaningful failures, understand why they happen, and systematically generate targeted training scenarios to improve performance where safety matters most.

Read it here: https://bit.ly/4wQq97Y

Great discussion at the Automated Mobility Summit on the future business models of automated mobility in Europe.

As Mobileye’s Chris Lichtmannecker shared, scaling autonomous mobility is not just about the technology; it’s about creating services people actually want to use. Useful, accessible AV services have the potential to reduce reliance on privately owned vehicles and reshape urban mobility.

Mobileye is helping enable this transition in Europe by building an AV platform designed to support multiple use cases and services, from robotaxis to public transit applications.

Photo: Automated Mobility Summit

Today, Mobileye released its financial results for the three months ended March 28, 2026, and announced a share repurchase program.

Read more here: https://okt.to/9jvHMr