On September 29, 2026 at 9 am PT (noon ET), Pierrick Boulay, Principal Analyst, Automotive Semiconductors, and Anas Chalak, Technology & Market Analyst, Imaging at Yole Group, will present the free hour webinar “Automotive Perception in the Physical AI Era: Imaging, Sensors and Computing,” organized by the Edge AI and Vision Alliance. Here’s the description, […]
Free Webinar on Automotive Perception in the Physical AI Era Read More +
NCore’s interactive 3D viewer showing camera frustums with images, lidar point clouds, 3D cuboid bounding boxes, and rig trajectory from an autonomous vehicle sequence. This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Autonomous vehicles, robotics, and broader physical AI research all depend on multi-sensor recordings—cameras,
NXP Semiconductors will host “NXP Tech Days,” on August 18, 2026, from 9:00 am to 6:00 pm PDT in Santa Clara, California. The event will feature hands-on workshops, expert-led sessions, and real-world insights across embedded systems, edge AI, connectivity, and security. From the event page: The Future, Engineered During the general session, discover how NXP
NXP Tech Days Comes to Silicon Valley Read More +
This blog post was originally published at ENERZAi’s website. It is reprinted here with the permission of ENERZAi. Hyundai Motor Group recently introduced Gleo AI — a conversational voice AI agent — in the all-new Grandeur, marking the first time such a system has appeared in one of their production vehicles. Unlike traditional voice recognition, which only responds to fixed
In-cabin Voice Agent at the Edge: Redefining the Drive Read More +
Feisal Afzal discusses the growing market opportunities for MagikEye’s Invertible Light™ Technology across robotics, smart appliances, automotive systems, and emerging Physical AI platforms. The conversation explores how efficient depth perception can enable safer, smarter, and more capable machines operating at the edge. With increasing demand for spatial intelligence in the physical world, ILT is positioned
The Eyes of Physical AI: Market Opportunities for MagikEye’s ILT Technology Read More +
Mauricio Greene of Bolom demonstrates real-time Sound Classification running on the Cadence Tensilica HiFi 5 DSP at the Embedded Vision Summit. Bolom Acoustic Intelligence edge models identify hundreds of distinct sound events and soundscape scenes – such as sirens, alarms, horns, traffic and more, fully on-device and without relying on the cloud. The Tensilica HiFi
Bolom Sound Classification on Cadence Tensilica HiFi 5 Read More +
At the 2026 Embedded Vision Summit, Boston AI CEO Peter Winston explores the latest advances shaping the future of AI. From intelligent agents to next-generation edge applications, he highlights how AI is evolving beyond task automation to become a more capable and collaborative partner within organizations. The video concludes with a look at emerging trends
Pulling Back the Curtain on a Smarter, More Connected AI Future Read More +
This content was originally published at HTEC’s website. It is reprinted here with the permission of HTEC. Physical AI at the Edge: Building the Full Stack for Real-World Deployment For years, AI progress was measured by model benchmark scores. The real test is different: does it work when deployed in a vehicle, a factory, a
On July 9-10, 2026 at 11:00 am PDT (2:00 pm EDT), NXP partner ITTIA will present the online workshop “Building Data-Centric SDV Systems on NXP S32 Automotive Processing Platform.” Workshop sessions will also be hosted for Europe attendees June 29-30, 2026 at 3:00 pm CET, and for Asia attendees July 7-9, 2026 at 9:00 am
Upcoming Workshop on Data-centric Software-defined Vehicle Systems Read More +
As AI moves into vehicles, appliances and industrial systems, the next challenge is scaling physical intelligence safely, reliably and in real-world conditions This article was originally published at HCLTech’s website. It is reprinted here with the permission of HCL Tech. Key takeaways Physical AI is reaching an inflection point as intelligence moves into real-world systems
Engineering Intelligence at the Physical Edge Read More +
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