IoT Applications and AI at The Edge Level

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Greenwaves reveal their latest AI chip, GAP9. Just like the previous generation, it is aimed at AI inferencing in systems at the very edge of the network.

eetasia.com, Dec. 24, 2019 – 

Edge computing will increasingly become an integral part of the digital transformation phenomenon. The main benefits deriving from the use of these technologies are the reduction of processing latency, which allows real-time responses, and the saving of bandwidth, sending already processed and, therefore, smaller information to the data center.

Compared to GreenWaves Technologies' currently shipping product, GAP8, the latest GAP9 reduces energy consumption by 5 times while enabling inference on neural networks 10 times larger. GAP9 is built on the same GAP architectural layout of the GAP8. GreenWaves' GAP8 is the industry's first ultra-low-power processor designed to transfer high edge processing capacity with particularly low costs and power consumption. It enables battery-powered artificial intelligence (AI) in the Internet of Things (IoT) applications.

"There's a lot of interest at the moment in moving AI processing to the edge for applications such as ADAS, security cameras, robots and phones. We are focusing on what we believe will be the next wave of edge devices, at what we call the very edge. These are the devices that are extremely power constrained. For example, wearables with very small rechargeable batteries that need weeks or months of battery life or sensors where power is unavailable or expensive to install. If you have to install cables to power a sensor, the cost of doing this is often many times more than the cost of the sensor itself. And then some sensors may be very distant from mains power. They might be in a middle of a field or something like that where getting power to them is almost impossible. You need to start having some other alternate power source, like PV panels or batteries with an extremely long life,"said Martin Croome, VP of marketing at GreenWaves Technologies.

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