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Processors

Allied Vision and Connect Tech Partner to Streamline Development of AI Vision Systems

Joint software and hardware solutions reduce the overall development time for NVIDIA applications requiring integrated vision sensors Stadtroda, Germany; Guelph, Ontario, Canada; December 16, 2020 – Allied Vision, a Preferred Partner in the NVIDIA Partner Network (NPN) and Connect Tech Inc., an Elite Partner, announced joint development of new hardware solutions with pre-integrated advanced sensor […]

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“Trends in Neural Network Topologies for Vision at the Edge,” a Presentation from Synopsys

Pierre Paulin, Director of R&D for Embedded Vision at Synopsys, presents the “Trends in Neural Network Topologies for Vision at the Edge” tutorial at the September 2020 Embedded Vision Summit. The widespread adoption of deep neural networks (DNNs) in embedded vision applications has increased the importance of creating DNN topologies that maximize accuracy while minimizing

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Telechips Selects the Latest Arm IP for Its Next-generation Automotive SoC

News highlights: The new Telechips Dolphin5 automotive SoC is based on an Arm heterogeneous compute solution comprised of CPU, GPU and NPU IP Telechips joins Arm Flexible Access program which includes access to several Arm IP safety packages Cambridge, UK – December 14, 2020 – Arm today announced that Telechips, a leading global fabless semiconductor

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“Recent Advances in Post-training Quantization,” a Presentation from Intel

Alexander Kozlov, Deep Learning R&D Engineer at Intel, presents the “Recent Advances in Post-training Quantization” tutorial at the September 2020 Embedded Vision Summit. The use of low-precision arithmetic (8-bit and smaller data types) is key for the deployment of deep neural network inference with high performance, low cost and low power consumption. Shifting to low-precision

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New Intel oneAPI Toolkits for XPU Software Development

What’s New: Following a November announcement, Intel today released production of Intel® oneAPI toolkits for developing high-performance, cross-architecture applications for Intel® CPUs, GPUs and FPGAs, collectively described as XPUs. The version 2021.1 toolkits deliver oneAPI, an open, standards-based, unified cross-architecture programming model that provides developers the freedom to choose the best hardware for accelerated computing. In addition to the

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“The Opportunities and Challenges in Realizing the Potential for AI at the Edge: An Update from the Front Lines,” An Embedded Vision Summit Expert Panel Discussion

Samir Kumar, Managing Director at Microsoft M12, moderates the “Opportunities and Challenges in Realizing the Potential for AI at the Edge: An Update from the Front Lines” Expert Panel at the September 2020 Embedded Vision Summit. Other panelists include Pete Warden, Staff Research Engineer at Google; Stevie Bathiche, Technical Fellow at Microsoft; Steve Teig, CEO

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“Streamline, Simplify, and Solve for the Edge of the Future,” a General Session Presentation from Intel

Bill Pearson, Vice President of the Internet of Things Group and General Manager of Developer Enabling at Intel, presents the “Streamline, Simplify, and Solve for the Edge of the Future” tutorial at the September 2020 Embedded Vision Summit. Today, edge AI is changing our world — whether it’s smart lab instruments enabling faster blood tests,

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BrainChip Ships Akida Evaluation Boards

Company Provides Shipments to Early Access Partners Aliso Viejo, California – 8 December, 2020 – BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance artificial intelligence technology, today provides the following update on the on the shipment of the Company’s evaluation boards for the Akida  Neuromophic System-on-Chip (NSoC). The Company confirms that

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“A New Golden Age for Computer Architecture: Processor Innovation to Enable Ubiquitous AI,” a Keynote Presentation from David Patterson

David Patterson, UC Berkeley professor of the graduate school, a Google distinguished engineer and the RISC-V Foundation Vice-Chair, presents the “A New Golden Age for Computer Architecture: Processor Innovation to Enable Ubiquitous AI” tutorial at the September 2020 Embedded Vision Summit. Paradoxically, processors today are both a key enabler of and a painful obstacle to

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“Perspective On the Past, Present, and Future of Processor Design,” an Alliance Interview with David Patterson

David Patterson, UC Berkeley professor of the graduate school, a Google distinguished engineer and the RISC-V Foundation Vice-Chair, talks with Jeff Bier, Founder of the Edge AI and Vision Alliance, for the “Perspective On the Past, Present, and Future of Processor Design” interview at the September 2020 Embedded Vision Summit. See here for Patterson’s keynote

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