Gabriel Costache, Senior R&D Director at Xperi, presents the “New AI Platform Architecture for the Smart Toys of the Future” tutorial at the May 2022 Embedded Vision Summit. From a parent’s perspective, toys should be safe, private, entertaining and educational, with the ability to adapt and grow with the child. For natural interaction, a toy […]
This market research report was originally published at Woodside Capital Partners’ website. It is reprinted here with the permission of Woodside Capital Partners. Palo Alto – July 29, 2022 – Woodside Capital Partners (WCP) is pleased to share our Industry Report on the AI Semiconductor Market 1st Half 2022, authored by Managing Director Shusaku Sumida.
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Manisha Agrawal, Product Marketing Manager at Texas Instruments, presents the “Build Smarter, Safer and Efficient Autonomous Robots and Mobile Machines” tutorial at the May 2022 Embedded Vision Summit. Automation is expanding rapidly from the factory floor to the consumer’s front door. Examples include autonomous mobile robots used in warehouses and last mile delivery and service
Ali Osman Örs, Director of AI ML Strategy and Technologies for Edge Processing at NXP Semiconductors, presents the “Intelligent Vision for the Industrial,​ Automotive and IoT Edge with the i.MX 8M Plus Applications Processor” tutorial at the May 2022 Embedded Vision Summit. Today’s edge-based ML solutions need a powerful multicore processor packed with features and
21 Jul 2022 | Geneva | STMicroelectronics has released STM32Cube.AI version 7.2.0, the first artificial-intelligence (AI) development tool by an MCU (microcontroller) vendor to support ultra-efficient deeply quantized neural networks. STM32Cube.AI converts pretrained neural networks into optimized C code for STM32 microcontrollers (MCUs). It is an essential tool for developing cutting-edge AI solutions that make
Daniel Firu, Co-founder and CPO of Quadric, presents the “Accelerate All Your Algorithms with the quadric q16 Processor,” tutorial at the May 2022 Embedded Vision Summit. As edge and embedded vision applications increasingly incorporate neural networks, developers are looking to add neural network accelerator functionality to their systems. There is just one problem: we need
James Marshall, Chief Scientific Officer at Opteran Technologies, presents the “Natural Intelligence Outperforms Artificial Intelligence for Autonomy and Vision” tutorial at the May 2022 Embedded Vision Summit. Mainstream approaches to AI for autonomy and computer vision make use of data-, energy- and compute-intensive techniques such as deep learning, which struggle to generalize and are fragile
Grenoble, France – June 16th 2022 – Allegro DVT, the leading provider of video processing silicon IPs and video compliance streams, has announced that its D310 AV1 Decoder silicon IP now supports 12-bit sample size and 4:4:4 chroma sub-sampling. Emerging applications such as cloud-gaming, automotive and screen mirroring will directedly benefit from these new features to provide a superior
This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. At Tryolabs, we are passionate about building computer vision solutions that have real-world impact. Very often, this means integrating them to run on edge devices. In our journey to master AI on the edge, we have developed
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Sharad Chole, Chief Scientist and Co-founder of Expedera, presents the “Novel Packet-based Accelerator for Resource-Constrained Edge Devices” tutorial at the May 2022 Embedded Vision Summit. As AI applications move from cloud platforms into edge devices, processor designers are increasingly incorporating hardware accelerators for real-time AI processing. These accelerators must meet tight cost, bandwidth and power
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