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Syntiant’s Deep Learning Computer Vision Models Deployed on Renesas RZ/V2L Microprocessor
Press Release Jared Geilich Press Release Jared Geilich

Syntiant’s Deep Learning Computer Vision Models Deployed on Renesas RZ/V2L Microprocessor

Syntiant Corp., a leader in edge AI deployment, today announced that the company’s commercially available deep learning computer vision (CV) models can now be deployed on the integrated DRP-AI (Dramatically Reconfigurable Processor) core on the Renesas RZ/V2L microprocessor (MPU), allowing developers to add intelligence to camera-based devices quickly and without an energy overhead.

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Bringing AI Edge Solutions to Market: Challenges and Solutions
News Jared Geilich News Jared Geilich

Bringing AI Edge Solutions to Market: Challenges and Solutions

Industry research firm Gartner explores how companies can successfully deploy edge AI. According to the report, edge devices are beginning to use AI as a tool to enable more capable and intelligent functions. Device designers and manufacturers must decide where the AI computation will occur. AI inference can occur in the cloud, at the edge infrastructure, or on the edge system itself. The decision of where the AI compute will reside depends on many factors, including the complexity of the AI inference, data security, privacy, latency requirements, connectivity, the power envelope, and physical limitations of the device.

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Syntiant to Demo Edge AI Solutions at Embedded World 2023
Press Release Jared Geilich Press Release Jared Geilich

Syntiant to Demo Edge AI Solutions at Embedded World 2023

Syntiant’s hardware and software technology bring a suite of cloud-free deep learning solutions that solve critical problems on compute-constrained embedded devices. Whether it is an acoustic event detector for security applications, advanced video processing in a teleconferencing device, or real time monitoring of battery health, Syntiant provides developers and integrators with high performance, proven solutions that can take them from concept to product in the shortest time possible.

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Why Edge AI for EV Battery Management
Blog Jared Geilich Blog Jared Geilich

Why Edge AI for EV Battery Management

EVs are equipped with hundreds of sensors and controllers to measure and process tons of data. As the techniques to make data-driven decisions evolve, the e-mobility industry has taken advantage of Big Data and AI to operate, monitor, and optimize a crucial piece of the EV powertrain: the battery. This article explores how Edge AI can improve Battery Management System (BMS) performance and safety.

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