David Selinger, CEO of Deep Sentinel, presents the “Deep Sentinel: Lessons Learned Building, Operating and Scaling an Edge AI Computer Vision Company” tutorial at the May 2025 Embedded Vision Summit. Deep Sentinel’s edge AI security cameras stop some 45,000 crimes per year. Unlike most security camera systems, they don’t just record video for later playback: […]
First of its kind performance for LLMs and VLMs for low power, embedded devices. EINDHOVEN, NL – September 8, 2025 – Axelera AI, the leading provider of purpose-built AI hardware acceleration technology, today announced Metis® M.2 Max, a new addition to the company’s class-leading Metis AI processor unit (AIPU) family. Delivering the performance of a
Axelera AI Boosts LLMs at the Edge by 2x with Metis M.2 Max Introduction Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm Technologies, Inc. introduces Snapdragon Ride Pilot at IAA Mobility 2025 What you should know: Qualcomm Technologies, Inc. has introduced Snapdragon Ride Pilot to help make driving more safety-focused and convenient for people around the world. Features
News Highlights: Arm Lumex CSS platform unlocks real-time on-device AI use cases like assistants, voice translation and personalization, with new SME2-enabled Arm CPUs delivering up to 5x faster AI performance Developers can access SME2 performance with KleidiAI, now integrated into all major mobile OSes and AI frameworks, including PyTorch ExecuTorch, Google LiteRT, Alibaba MNN and
Highlights: Landmark technical collaboration brings together the strengths of two industry leaders with Google Gemini models and Qualcomm Snapdragon Digital Chassis solutions to help automakers create deeply personalized and advanced AI agents that will redefine customers’ experiences at every point in their journeys. Combines the best of both worlds – powerful on-device AI for instant,
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Autonomous vehicle (AV) technology is rapidly evolving, fueled by ever-larger and more complex AI models deployed at the edge. Modern vehicles now require not only advanced perception and sensor fusion, but also end-to-end deep learning pipelines that
Accelerate Autonomous Vehicle Development with the NVIDIA DRIVE AGX Thor Developer Kit Read More +
Highlights: AI-enabled Snapdragon Ride Pilot Automated Driving System, powered by Snapdragon Ride system-on-chips and a new jointly developed automated driving software stack, debuts in the all-new BMW iX3 at IAA Mobility 2025. System is validated in 60 countries worldwide and is targeted to be available in more than 100 countries by 2026. Scalable platform enabling
Chris Padwick, Machine Learning Engineer at Blue River Technology, talks with Mark Jamtgaard, Director of Technology at RetailNext for the “Taking Computer Vision Products from Prototype to Robust Product,” interview at the May 2025 Embedded Vision Summit. When developing computer vision-based products, getting from a proof of concept to a robust product ready for deployment
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How our pioneering research and leading proof-of-concepts are paving the way for generative AI to scale What you should know: Qualcomm AI Research is pioneering research and inventing novel techniques to deliver efficient, high-performance GenAI solutions. Our
GenAI Firsts: Redefining What’s Possible At the Edge Read More +
SDV Level Chart: IDTechEx defines SDV performance using six levels. Most consumers still have limited awareness of the deeper value behind “software-defined” capabilities The concept of the Software-Defined Vehicle (SDV) has rapidly emerged as a transformative trend reshaping the automotive industry. Yet, despite widespread use of the term, there remains significant confusion around its core
Software-defined Vehicles: Built For Users, or For the Industry? Read More +
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