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Syntiant Core 2 Achieves Outstanding Results in Latest MLPerf Tiny v1.1 Benchmark Suite
Press Release Jared Geilich Press Release Jared Geilich

Syntiant Core 2 Achieves Outstanding Results in Latest MLPerf Tiny v1.1 Benchmark Suite

Syntiant Corp., a leader in edge AI deployment, today announced that its Syntiant Core 2™ programmable deep learning architecture delivered the lowest power energy performance across three categories in the most recent MLCommons’ MLPerf™ Tiny v1.1 benchmark suite, which measures how quickly a trained neural network can process new data for extremely low-power devices in the smallest form factors.

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TDK low-power T5838 MEMS microphones emerge as the preferred choice for edge AI applications
Press Release Jared Geilich Press Release Jared Geilich

TDK low-power T5838 MEMS microphones emerge as the preferred choice for edge AI applications

TDK Corporation (TSE:6762) announces that its low-power InvenSense T5838 and T5837 digital PDM microphones, part of the SmartSound™ family, have established themselves as the microphone of choice for low-power edge AI application processors that perform keyword detection, due to its innovative Acoustic Activity Detect (AAD) feature that enables system power savings, thus prolonging battery life, and ability to intelligently detect keywords or voice commands.

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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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Neural Chip Plays Doom Using a Thousandth of a Watt
News Jared Geilich News Jared Geilich

Neural Chip Plays Doom Using a Thousandth of a Watt

Watch the NDP200 play doom. Syntiant's NDP200 is an ultra-low power chip for neural networks. It is primarily used to monitor video and audio to trigger events that other systems will react to. The NDP200 can run at up to 100 MHz and even has 26 GPIO pins, just like the original Raspberry Pi.

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ISSCC 2023: The processors that the IEEE wanted to hear about
News Jared Geilich News Jared Geilich

ISSCC 2023: The processors that the IEEE wanted to hear about

The Syntiant NDP200 processor was featured during ISSCC 2023. Designed for local (no cloud connection) image processing, power consumption was the key design parameter in the NDP200 , prompting an at-memory architecture (Syntiant Core 2) to minimise the energy-sapping movement of data during inferencing.

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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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