This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. AMBA is being extended to the chiplets market with the new CHI C2C specification. As Arm’s EVP and Chief Architect Richard Grisenthwaite said in this blog, Arm is collaborating across the ecosystem on standards to enable a […]
Ecosystem Collaboration Drives New AMBA Specification for Chiplets Read More +
This blog post was originally published at Synopsys’ website. It is reprinted here with the permission of Synopsys. Streaming video. Voice-activated controls. A variety of apps. While these may sound like features in today’s smartphones, they can just as well be applicable to cars. Welcome to the era of software-defined vehicles (SDVs), where sophisticated software
Synopsys at CES 2024: Driving the Future of Software-defined Vehicles Read More +
Oren Debbi, CEO and Co-founder of Visionary.ai, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Debbi demonstrates Visionary.ai’s low-light software-based image signal processor (ISP). Two cameras with identical hardware are placed inside a box, one using a standard ISP and the other using Visionary.ai’s AI
Dor Zepeniuk, Co-founder, CTO and VP Products at Inuitive, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Zepeniuk demonstrates Inuitive’s latest multicore vision-on-chip processor, the NU4100. The NU4100 all-in-one vision processor supports simultaneous AI-powered image processing, depth sensing and VSLAM capabilities for a wide range
Tom Michiels, System Architect for ARC Processors at Synopsys, presents the “How Transformers Are Changing the Nature of Deep Learning Models” tutorial at the May 2023 Embedded Vision Summit. The neural network models used in embedded real-time applications are evolving quickly. Transformer networks are a deep learning approach that has become dominant for natural language
Synopsys’ ARC® NPX6 NPU IP is the 2023 Edge AI and Vision Product of the Year Award Winner in the Edge AI Processors category. The ARC NPX6 NPU IP is an AI inference engine optimized for the latest neural network models – including newly emerging transformers – which can scale from 8 to 3,500 TOPS
Vaida Jasulaityte, Business Development Director at Visidon, demonstrates the company’s latest edge AI and vision technologies and products in Synopsys’ booth at the 2022 Embedded Vision Summit. Specifically, Jasulaityte demonstrates Visidon’s Driver Monitoring System (DMS) running on a Synopsys ARC® EV7x Vision Processor. In the demo, Jasulaityte shows how Visidon’s DMS, a vehicle safety system,
Fahed Hassenat, COO and Director of Engineering at Sensor Cortek, demonstrates the company’s latest edge AI and vision technologies and products in Synopsys’ booth at the 2022 Embedded Vision Summit. Specifically, Hassenat demonstrates AI-based radar detection for edge applications. In the demonstration, Hassenat describes how Sensor Cortek captures raw radar data and implements a signal
Tom Michiels, System Architect for DesignWare ARC Processors at Synopsys, presents the “How Transformers are Changing the Direction of Deep Learning Architectures” tutorial at the May 2022 Embedded Vision Summit. The neural network architectures used in embedded real-time applications are evolving quickly. Transformers are a leading deep learning approach for natural language processing and other
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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