Mobileye

On June 3 at CVPR 2026's Workshop on Autonomous Driving (WAD), Mobileye CTO Prof. Shai Shalev-Shwartz will present new research on how AI systems can automatically identify rare but safety-critical failures, understand why they occur, and generate targeted training scenarios to improve performance where it matters most.

His keynote, Driving the Long Tail: Efficient Scaling via Automatic Scenario Discovery, will explore Mobileye's latest work on scaling autonomous driving through systematic failure discovery and targeted learning.

The workshop features researchers and industry leaders from across the autonomous driving community.

📍 Room 603, Colorado Convention Center, Denver
🗓 June 3, 2026 | 3:00 PM MDT

Registered CVPR attendees can also access the workshop virtually.

Read the blog: https://okt.to/vnj0e4
View the full agenda: https://okt.to/8Uhm7u

Mobileye is honored to be named Frost & Sullivan's 2026 Global Company of the Year in the Passenger Vehicle ADAS industry for the Excellence in Best Practices category. The recognition highlights our leadership in AI‑powered ADAS solutions that address the evolving safety and scalability needs of global automakers.

Frost & Sullivan’s analysis found that Mobileye stands out in ADAS by delivering across four critical requirements – scalable architecture, cost discipline, safety credibility, and real‑world validation – through a shared technology backbone spanning from base ADAS to full autonomy.

Proud to help advance safer driving at global scale.

Read more here: https://okt.to/Hue3dW

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

TÜV SÜD, the global testing, inspection, and certification organization, issued a formal recommendation for Mobileye's Safety Management System (SMS) for SAE Level 4 autonomous systems.

The recommendation followed a thorough, year-long review of our processes, policies, and the organization of safety responsibilities across AV development.

Read more here: https://okt.to/2hVugD

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