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

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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

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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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Prophesee Releases the Most Comprehensive Event-Based Dataset to Date

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Featuring 14 hours of recording on a 1-megapixel camera, available for download now PARIS – December 7, 2020 – Prophesee SA, inventor of the most advanced neuromorphic vision systems, today announced the release of the most comprehensive Event-Based dataset to date. The dataset, which was spotlighted at the 2020 NeurIPS conference, consists of 14 hours

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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

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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

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

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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

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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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“Vitis and Vitis AI: Application Acceleration from Cloud to Edge,” a Presentation from Xilinx

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Vinod Kathail, Fellow and Chief Architect at Xilinx, presents the “Vitis and Vitis AI: Application Acceleration from Cloud to Edge” tutorial at the September 2020 Embedded Vision Summit. Xilinx SoCs and FPGAs provide significant advantages in throughput, latency, and energy efficiency for production deployments of compute-intensive applications when compared to CPUs and GPUs. Over the

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“Making Edge AI Inference Programming Easier and Flexible,” a Presentation from Texas Instruments

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Manisha Agrawal, Product Marketing Engineer at Texas Instruments, presents the “Making Edge AI Inference Programming Easier and Flexible” tutorial at the September 2020 Embedded Vision Summit. Deploying an AI model at the edge doesn’t have to be challenging—but it often is. Embedded processing vendors have unique sets of software tools for deploying models. It takes

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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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