EmSPARK Security Suite for Jetson AGX Orin helps protect autonomous machines at the edge SEATTLE, August 3, 2022 /Business Wire/ – Sequitur Labs today announced that its EmSPARK™ Security Suite for the NVIDIA Jetson™ edge AI platform has been qualified with the new Jetson AGX Orin™ 32 GB module to support trial deployments of the […]
The tech firms’ collaboration augments brain-mimicking Spiking Neural Networks. Edge Impulse, the leading platform for enabling ML at the edge, and BrainChip, the leading provider of neuromorphic AI IP technology, announced support for deploying Edge Impulse projects on the BrainChip MetaTF platform. Edge Impulse enables developers to rapidly build enterprise-grade ML algorithms, trained on real
Edge Impulse Releases Deployment Support for BrainChip Akida Neuromorphic IP Read More +
Ryad Benosman, Professor at the University of Pittsburgh and Adjunct Professor at the CMU Robotics Institute, presents the “Event-Based Neuromorphic Perception and Computation: The Future of Sensing and AI” tutorial at the May 2022 Embedded Vision Summit. We say that today’s mainstream computer vision technologies enable machines to “see,” much as humans do. We refer
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.
The AI Semiconductor Market 1st Half 2022 Read More +
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
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