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Mobileye Driving the physical AI evolution

The hardest part of scaling autonomous driving is not just collecting more data. It is learning from the rare, safety-cr...
20/10/2026

The hardest part of scaling autonomous driving is not just collecting more data. It is learning from the rare, safety-critical scenarios that are easy to miss inside massive datasets.

Mobileye’s approach includes Meteor, which uses AI agents and vision-language models to help discover difficult scenarios across our large-scale driving data.

Stay tuned as we explore how Meteor helps turn those discoveries into actionable learning signals.

Learn more: https://okt.to/TjmnMc

Thanks to Harry Campbell (The Rideshare Guy) for hosting another great event bringing together the AV ecosystem.Mobileye...
15/10/2026

Thanks to Harry Campbell (The Rideshare Guy) for hosting another great event bringing together the AV ecosystem.

Mobileye was proud to serve as the official technology partner of the Urban Autonomy Summit in Austin this week, joining industry leaders working to bring safer, more efficient autonomous mobility solutions to cities.

Physical AI is quickly becoming one of the most important frontiers in AI, but building machines that can safely operate...
13/10/2026

Physical AI is quickly becoming one of the most important frontiers in AI, but building machines that can safely operate in the real world takes more than powerful models.

For Mobileye, the foundations of physical AI have been decades in the making through autonomous driving.

In our blog, we explore how the same principles behind safe, scalable AVs are now informing the next generation of intelligent systems, from robotaxis to humanoid robots.

Read more here: https://okt.to/3anQjl

Johann Jungwirth, EVP of Autonomous Vehicles at Mobileye, took the stage at The Autonomous Main Event to discuss what it...
06/10/2026

Johann Jungwirth, EVP of Autonomous Vehicles at Mobileye, took the stage at The Autonomous Main Event to discuss what it takes to scale autonomous mobility.

From safety-by-design and redundant systems to fleet operations, regulation, accessibility, and consumer trust, he shared why the next 12–18 months will be critical for moving autonomous mobility from validation to real-world deployment.

Watch the full session to learn more about Mobileye’s vision for safer, scalable autonomous mobility: https://okt.to/nUwd74

At AutoSens Europe, Mobileye Senior Principal Engineer Hendler unpacked one of autonomous driving’s hardest challenges:...
01/10/2026

At AutoSens Europe, Mobileye Senior Principal Engineer Hendler unpacked one of autonomous driving’s hardest challenges: the long tail.

The difficult scenarios are not always the obvious ones. They can be rare, unexpected, or simply easy to miss in a dataset, and they often matter most.

In his session, "From Edge Cases to Scalable Intelligence: Driving Long-Tail Learning with VLMs", Avi introduced Meteor, an in-house framework for finding and analyzing long-tail driving scenarios. Using vision-language models, it helps identify rare events, investigate why a network fails, and surface the right examples to bring back into training.

The focus is not simply on adding more data, but on finding the data that can help systems learn and improve at scale.

Watch the full session here: https://okt.to/IUqXPe

Great to be at AutoSens Europe, where Mobileye experts shared how AI can better understand the complex, dynamic conditio...
28/09/2026

Great to be at AutoSens Europe, where Mobileye experts shared how AI can better understand the complex, dynamic conditions of the physical world.

From evaluating how automotive cameras perform in motion and challenging lighting conditions, to discovering rare scenarios that can have an outsized impact on driving safety, to advancing driver and occupant monitoring beyond compliance—real-world performance matters.

Building safer, more capable driving systems means looking beyond averages: identifying the cases that matter, testing against real-world conditions, and improving how vehicles understand both the road and the people inside them.

Thank you to everyone who joined Avi Hendler, Gabriel Bowers and Elad Osherov for the conversations.

Approximately 95% of public roads in the U.S. and Europe are covered by Mobileye REM™, with more than 34 billion miles m...
24/09/2026

Approximately 95% of public roads in the U.S. and Europe are covered by Mobileye REM™, with more than 34 billion miles mapped.

Aggregated real-world driving data helps support continuously updated maps designed to support localization, map freshness, change detection, and driving systems as road conditions evolve.

Learn more about Mobileye REM™: https://okt.to/dOYQmt

Physical AI is designed for the real world, where conditions are constantly changing and the complexity of physical envi...
22/09/2026

Physical AI is designed for the real world, where conditions are constantly changing and the complexity of physical environments cannot be fully scripted or predicted.

Mobileye’s approach to physical AI is built on safety by architecture, edge-case led learning, a purpose-built stack, and scale-first engineering.

Together, these principles are designed to enable autonomous vehicles and humanoids to perform in complex physical environments.

Learn more: https://okt.to/rDH9lo

17/09/2026

New roads, new driving environments and more real-world validation for hands-free, eyes-on driving.

Powered by EyeQ™6H and using hardware designed for production, our development vehicle put Mobileye SuperVision™ to the test across urban streets, highways and varied conditions throughout the central U.S.

We'll be in Barcelona for AutoSens Europe 2026. Across three sessions, Mobileye experts will be sharing insights on tack...
15/09/2026

We'll be in Barcelona for AutoSens Europe 2026.

Across three sessions, Mobileye experts will be sharing insights on tackling the long tail in autonomous driving, enhancing in-cabin sensing with exterior intelligence, and innovation in automotive imaging.

If you're attending, join us for:
📅 Wednesday, 23 September | 3:20 p.m. CEST
Avi Hendler
From Edge Cases to Scalable Intelligence: Driving Long-Tail Learning with VLMs

📅 Thursday, 24 September | 9:50 a.m. CEST
Elad Osherov
Panel Discussion - Beyond Compliance: The Next Generation of Driver & Occupant Monitoring

📅 Thursday, 24 September | 11:25 a.m. CEST
Gabriel Bowers
Motion-Aware Characterization of Automotive HDR Cameras: Quantifying the Trade-Off Between Flicker Mitigation and Dynamic Resolution

Check out more info here: https://okt.to/1P7uc8

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