Computers on wheels. That’s how people currently see cars. Practically everything that happens in a vehicle is being monitored and actuated by a microcontroller, from opening windows to calculating the optimal fuel-air mixture for the current torque demand. But the surface has only just been scratched in terms of how much computing power is making […]
High Performance Computing for Automotive Read More +
Chennai, India (Nov 02, 2023): e-con Systems, with over two decades of experience in designing, developing, and manufacturing OEM cameras, proudly announces the recent addition of two new US patents to their growing imaging innovation portfolio. Two of e-con’s dedicated engineers, Krithika Gurumurthy and Balasubramanium G, have received Notice of Allowance from the United States
e-con Systems Adds Two New US Patents to the Company’s Imaging Innovation Portfolio Read More +
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Learn about the Foundation Models — for object classification, object detection, and segmentation —  that are redefining Computer Vision. ‍Foundation models have come to computer vision! Initially limited to language tasks, foundation models can now serve as the backbone of computer
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Collaboration to bring chip designers a powerful combination of Arm core and Intel angstrom-era process technology advancements. SANTA CLARA, Calif., and CAMBRIDGE, U.K., April 12, 2023 – Intel Foundry Services (IFS) and Arm today announced a multigeneration agreement to enable chip designers to build low-power compute system-on-chips (SoCs) on the Intel 18A process. The collaboration
Intel Foundry and Arm Announce Multigeneration Collaboration on Leading-Edge SoC Design Read More +
New CV3-AD685 System-on-Chip advances Autonomous and Advanced Driver Assistance System (ADAS) applications, providing single-chip solution for multi-sensor fusion and path planning SEOUL, Korea and SANTA CLARA, Calif. – Feb. 21, 2023 ― Samsung Electronics, a world leader in advanced semiconductor technology, and Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced that Samsung’s
LAS VEGAS – CES — January 6, 2023 – Immervision, the world’s leading developer of advanced vision systems combining optics, image processing, and sensor fusion technology, today introduced at CES its off-the-shelf 190° lens developed to address the specific low-light in-cabin requirements for safety and comfort in the automotive industry. The first to design wide-angle Panomorph
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Company to launch AI acceleration platform in early 2023 Eindhoven, Netherlands – October 25, 2022 – European AI startup Axelera AI announced today the close of its $27 million Series A investment round. The funding will support Axelera AI’s launch and mass production of its first-generation AI acceleration platform, powered by its disruptive in-memory computing
European AI Startup Axelera AI Closes $27 Million Series A Read More +
13th Gen Intel Core desktop processors deliver the world’s best gaming experience and unmatched overclocking capabilities. SAN JOSE, Calif., Sept. 27, 2022 – Today at  Intel Innovation, Intel revealed the 13th Gen Intel® Core™ processor family, led by the 13th Gen Intel® Core™ i9-13900K – the world’s fastest desktop processor1. The new 13th Gen Intel Core family includes six
Intel Launches 13th Gen Intel Core Processor Family Alongside New Intel Unison Solution Read More +
Companies will demonstrate full facial authentication solution for smartphone integration and for applications behind OLED screens Solution combines high-performance near-infrared global-shutter image sensor from ST and sophisticated trinamiX algorithm Certified for use in mobile payments according to IIFAA, AndroidTM, and FIDO standards 24 Aug 2022 | Geneva, Switzerland, and Ludwigshafen, Germany | STMicroelectronics (NYSE: STM),
This blog post was originally published at Syntiant’s website. It is reprinted here with the permission of Syntiant. Academic machine learning requires extensive toolsets for model training and evaluation, but the vast majority of academic work is more grounded in model capacity than looking at the energy cost of deploying those models. This puts modelers
Modeling for the Edge: How Neural Network Modelers Should Evaluate Edge Compute Power Read More +
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