Syntiant AI

https://www.syntiant.com/

• https://semiengineering.com/memory-issues-for-ai-edge-chips/

Using SRAM-based memory, Syntiant classifies its architecture as near-memory computing. The idea behind the chip is to make voice as the main interface in systems. Amazon’s Alexa is one example of an always-on voice interface.

• SYNTIANT ON MANHATTAN AI PANEL: “INTEL VS. NVIDIA: FUTURE OF AI CHIPS STILL EVOLVING”

• https://www.eetimes.com/tech-heavyweights-back-ai-chip-startup/

• https://roboticsandautomationnews.com/2021/01/29/teradyne-and-syntiant-partner-to-significantly-shorten-time-to-market-for-new-ai-chips/40076/

the product - Syntiant Always-On Sensor & Speech Recognition Processor -NDP100

Two Startups Use Processing in Flash Memory for AI at the Edge

Mythic AI and Syntiant sound similar on the surface, but they’re after different markets

The extent of analog circuitry each startup uses is a key difference between them. Syntiant’s entire network is analog, but Mythic surrounds the analog flash array with programmable digital circuitry. Mythic uses the surrounding circuitry to add flexibility to the size and types of networks its chips can run. “All network topologies run at approximately the same efficiency on our chip,” says Fick.

Microchip Technology - subsidiary Silicon Storage Technology - https://www.sst.com/

• https://www.sst.com/products-and-services/membraintm-products

• Enhancing System Architecture Implementation for AI Applications, Microchip Delivers its Analog Embedded SuperFlash® Technology

“Microchip’s memBrain solution enables ultra-low-power in-memory computation for our forthcoming analog neural network processors,” said Kurt Busch, CEO of Syntiant Corp. “Our partnership with Microchip continues to offer Syntiant many critical advantages as we support pervasive machine learning for always-on applications in voice, image and other sensor modalities in edge devices.”