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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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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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