Processors

Nota AI Collaborates with Renesas on High-efficiency Driver Monitoring AI for RA8P1 Microcontroller

Algorithms, News, Nota AI, Processors, Renesas, Software, Tools /

AI model optimization powers high-efficiency DMS on ultra-compact MCUs 50FPS real-time performance with ultra-low power and minimal system footprint SEOUL, South Korea, July 2, 2025 /PRNewswire/ — Nota AI, a global leader in AI optimization, today announced a collaboration with Renesas Electronics Corporation, a premier supplier of advanced semiconductor solutions, to deliver an optimized Driver Monitoring […]

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“Voice Interfaces on a Budget: Building Real-time Speech Recognition on Low-cost Hardware,” a Presentation from Useful Sensors

Algorithms, Moonshine AI, Processors, Software, Summit 2025, Tools, Videos /

Pete Warden, CEO of Useful Sensors, presents the “Voice Interfaces on a Budget: Building Real-time Speech Recognition on Low-cost Hardware” tutorial at the May 2025 Embedded Vision Summit. In this talk, Warden presents Moonshine, a speech-to-text model that outperforms OpenAI’s Whisper by a factor of five in terms of speed.… “Voice Interfaces on a Budget:

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Chips&Media’s New APV CODEC Delivers Extreme Visual Quality to the Android Industry

Algorithms, Chips&Media, News, Processors /

Advanced Professional Video CODEC from Chips&Media is now on its way to the Android industry to enable extreme image quality as well as professional video experience in capture, playback, and edit use-cases in APV ecosystem. Key notes: New CODEC for professional video experience, in healthy competition with ProRes in iOS Ideal for edge devices even

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Renesas Sets New MCU Performance Bar with 1-GHz RA8P1 Devices with AI Acceleration

Arm, News, Processors, Renesas, Tools /

Single- and Dual-Core MCUs Combine Arm Cortex-M85 and M33 Cores with Arm Ethos-U55 NPU to Deliver Superior AI Performance up to 256 GOPs Unprecedented 7300+ CoreMarks[1] with Dual Arm CPU cores TSMC 22ULL Process Delivers High Performance and Low Power Consumption Embedded MRAM with Faster Write Speeds and Higher Endurance and Retention Dedicated Peripherals Optimized

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Embedded Quest 2025: MCU Vendors Step up Edge AI Play

Arm, Ceva, Market Analysis, MIPS, Processors, STMicroelectronics, Videos /

Edge AI was the primary focus of microcontroller vendors at the 2025 Embedded World Exhibition. We caught up with some industry executives for our annual Embedded Quest program, asking them about their take on Edge AI. As usual, the Embedded World Exhibition in Nuremberg, Germany, drew a large crowd of companies in the computing processor

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Introducing NVFP4 for Efficient and Accurate Low-precision Inference

Algorithms, Blog Posts, NVIDIA, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as quantization, distillation, and pruning—typically come to mind. The most common of the three, without

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Simplifying Vision AI Development with Renesas AI Model Deployer Powered by NVIDIA TAO

Algorithms, Blog Posts, NVIDIA, Processors, Renesas, Software, Tools /

This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. Edge AI is no longer a futuristic idea—it’s an essential technology driving today’s smart devices across industries, from industrial automation to consumer IoT applications. But building AI applications at the edge still comes with challenges: complexity with

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“ONNX and Python to C++: State-of-the-art Graph Compilation,” a Presentation from Quadric

Algorithms, Processors, Quadric, Software, Summit 2025, Tools, Videos /

Nigel Drego, Co-founder and Chief Technology Officer at Quadric, presents the “ONNX and Python to C++: State-of-the-art Graph Compilation” tutorial at the May 2025 Embedded Vision Summit. Quadric’s Chimera general-purpose neural processor executes complete AI/ML graphs—all layers, including pre- and post-processing functions traditionally run on separate DSP processors. To enable… “ONNX and Python to C++:

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Low-power Computer Vision Challenge: Empowering AI Development on Edge Devices

Algorithms, Blog Posts, Processors, Qualcomm, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The Low-Power Computer Vision Challenge (LPCVC) is an annual competition organized by the Institute of Electrical and Electronics Engineers (IEEE) to improve the energy efficiency of computer vision technologies for systems with constrained resources. Established in 2015

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VeriSilicon Expands DSP Portfolio with Silicon-proven ZSP5000 Vision Core Series for Edge Intelligence

News, Processors, VeriSilicon /

Highly scalable architecture optimized for computer vision and image workloads with extendable instruction set Shanghai, China, June 26, 2025–VeriSilicon (688521.SH) today released the ZSP5000 Digital Signal Processing (DSP) series IPs, which are based on its fifth-generation silicon-proven DSP architecture. This product line adopts a highly scalable and energy-efficient design, and has been deeply optimized for

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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