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Award-Winning Processors Drive Greater Intelligence and Safety into Autonomous Automotive Systems

This blog post was originally published at Synopsys’ website. It is reprinted here with the permission of Synopsys. From safety features like collision avoidance to the self-driving cars that are being tested on highways and city streets, artificial intelligence (AI) technologies play an integral role in modern vehicles. Sophisticated sensors and deep-learning algorithms like neural …

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Edge AI and Vision Alliance Announces 2022 Edge AI and Vision Product of the Year Award Winners

Awards Celebrating Innovation and Achievement in Computer Vision and Edge AI SANTA CLARA, Calif., May 17, 2022 /PRNewswire/ — The Edge AI and Vision Alliance today announced the 2022 winners of the Edge AI and Vision Product of the Year Awards. The Awards celebrate the innovation and achievement of the industry’s leading companies that are …

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2022 Edge AI and Vision Product of the Year Award Winner Showcase: Synopsys (Automotive Solutions)

Synopsys’ DesignWare ARC EV7xFS Processor IP for Functional Safety is the 2022 Edge AI and Vision Product of the Year Award Winner in the Automotive Solutions category. The EV7xFS is a unique multi-core SIMD vector digital signal processing (DSP) solution that combines seamless scalability of computer vision, DSP and AI processing with state-of-the-art safety features …

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Synopsys Introduces Industry’s Highest Performance Neural Processor IP

New DesignWare ARC NPX6 NPU IP Delivers Up to 3,500 TOPS Performance for Automotive, Consumer and Data Center Chip Designs Highlights of this Announcement: DesignWare ARC NPX6 NPU IP delivers industry-leading performance and power efficiency of 30 TOPS/Watt, featuring up to 96K MACs with enhanced utilization, new sparsity features and new interconnect for scalability New …

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Synopsys Demonstration of SRGAN Super Resolution on DesignWare ARC EV7x Processors

Liliya Tazieva, Software Engineer at Synopsys, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Tazieva demonstrates SRGAN super resolution on Synopsys’ DesignWare ARC EV7x processors. Image super resolution techniques reconstruct a higher-resolution image from a lower-resolution one. Although this can be done with classical vision …

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Synopsys Demonstration of SLAM Acceleration on DesignWare ARC EV7x Processors

Liliya Tazieva, Software Engineer at Synopsys, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Tazieva demonstrates simultaneous localization and mapping (SLAM) acceleration on Synopsys’ DesignWare ARC EV7x processors. SLAM creates and updates a map of an unknown environment while at the same time keeping track …

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Upcoming Webinar Explores How to Build and Secure an Edge AI Solution

On December 1, 2021 at 9:00 am PT (noon ET), Alliance Member companies Arm, NXP Semiconductors, Siemens Digital Industries Software and Synopsys, along with Arcturus Networks, will deliver the free webinar “How to Build and Secure an Edge AI Solution from IP Cores, to SoC, to OS, to Algorithm , to Software Applications.” From the …

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Synopsys Advances Processor IP Leadership with New ARC DSP IP Solutions for Low-Power Embedded SoCs

New ARC VPX DSPs Reduce Power and Area Up to Two-Thirds for IoT, AI, Automotive and Voice/Language Processing Designs Highlights of this Announcement: Synopsys ARC 128-bit VPX2 and 256-bit VPX3 DSP IP are based on same advanced VLIW/SIMD architecture as higher performance 512-bit VPX5, providing greater flexibility for specific application requirements Portfolio includes safety-enhanced implementations …

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“Case Study: Facial Detection and Recognition for Always-On Applications,” a Presentation from Synopsys

Jamie Campbell, Product Marketing Manager for Embedded Vision IP at Synopsys, presents the “Case Study: Facial Detection and Recognition for Always-On Applications” tutorial at the May 2021 Embedded Vision Summit. Although there are many applications for low-power facial recognition in edge devices, perhaps the most challenging to design are always-on, battery-powered systems that use facial …

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Why In-Memory Computing Will Disrupt Your AI SoC Development

This blog post was originally published at Synopsys’ website. It is reprinted here with the permission of Synopsys. Artificial intelligence (AI) algorithms thirsting for higher performance per watt have driven the development of specific hardware design techniques, including in-memory computing, for system-on-chip (SoC) designs. In-memory computing has predominantly been publicly seen in semiconductor startups looking …

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