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 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™: okt.to/m3H96n

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: okt.to/SMesxK

New roads, new driving environments, and real-world validation for hands-free, eyes-on driving. Powered by EyeQ™6H and production-designed hardware, our development vehicle tested Mobileye SuperVision™ across central U.S. urban streets, highways and varied conditions.

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: okt.to/rSdWzJ

Germany continues to set itself as one of the leading global markets in autonomous mobility, and Mobileye Drive™ is helping lead the way. Official KBA data shows that more than 60% of Germany’s valid SAE Level 4 testing permits include Mobileye Drive™, our fully autonomous solution for Mobility as a Service. As autonomous transportation moves closer to commercial deployment, we’re proud to push for a future of safer, scalable driverless mobility. Read more here: okt.to/m4rLsF

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. At @CVPR, Mobileye CTO Prof. @shai_s_shwartz introduced Meteor, Mobileye’s approach to long-tail learning: using AI agents and vision-language models to discover difficult scenarios, identify reproducible failure patterns, and generate targeted variations for training and validation.  Watch the presentation to see how Mobileye is tackling one of autonomy’s biggest challenges: turning edge cases into scalable intelligence: piped.video/watch?v=JTPpHurc…

Advancing vehicle safety.  More than half of vehicle models awarded a 5-star Euro NCAP rating in 2025 were equipped with Mobileye technology.

Mobileye’s next chapter in Physical AI is about turning advanced intelligence into robust, useful and economically viable systems in the real world. Humanoid robotics brings that challenge into a new domain. In an exclusive interview with @IZONmedia, @liorwolf, EVP of Humanoids at Mobileye, explains why Mentee by Mobileye bet on simulation from day one, why it develops hardware and software together to help learned skills transfer reliably into the real world, and what it will take to build a truly general-purpose robot. He also discusses how Mentee’s startup speed and vertically integrated approach can combine with Mobileye’s experience in productization, supply chain and commercial scale. Read the full interview here: okt.to/oFbMBl

Already selected by leading OEMs, Mobileye Imaging Radar™ is designed to enable hands-off/eyes-off driving. Check it out:

Advancing safety across the industry.  In 2025, 80% of vehicle models awarded a 4-star Euro NCAP rating were equipped with Mobileye technology.

Drivers are no longer evaluating ADAS only by whether a feature exists. They are judging how it feels.   At the same time, automotive architecture is transforming rapidly. Vehicles are becoming more centralized, with greater compute capacity and more room for software-defined feature growth.    Read more about how hands-free driving is going mainstream: okt.to/9MP06V

When evaluating predictive road intelligence for hands-free driving, OEM teams tend to validate four areas early: • Coverage & ODD support • Road-level semantics • Change detection & update latency • In-stack integration Scroll through for our breakdown on what matters before scaling deployment.

Today’s vehicles offer more functionality than ever, but some of that functionality can compete directly for the driver’s attention. In this article, @Nasdaq looks at the rise of driver and occupant monitoring, evolving safety requirements, and how Mobileye DMS™ combines in-cabin sensing with exterior perception on a single chip. Read it here: okt.to/pPjd9J

Raising the bar for vehicle safety.  Nearly nine out of ten European-made vehicle models awarded a 5-star Euro NCAP rating in 2025 used Mobileye technology.

Five of the world’s 10 largest automakers now contribute data to Mobileye REM™. As aggregated real-world driving data grows, so does the ability to maintain maps that are continuously updated to reflect changing road conditions.    Learn more about Mobileye REM™: okt.to/K7pFNa

Today, Mobileye released its financial results for the three months ended June 27th, 2026. Read more here: okt.to/Ap7Ivk

After 27 years leading Mobileye, Founder and CEO Prof. @AmnonShashua plans to step down as CEO once the Board appoints a successor. The Board has offered Prof. Shashua the role of Chairman, allowing him to focus on what has always been at the heart of his work: research, technology, and long-term innovation, while supporting Mobileye's next phase of growth. Read more: okt.to/QLXIeF