Fixing the ADD of Neural Nets with LatentAI

The attention deficit being the distraction and power burn of being always on.

Future Ventures led the seed and Series A of Latent AI, as reported today in TechCrunch: LatentAI “can compress common AI models by ten times without a noticeable change in accuracy, partly through an ‘attention mechanism’ that enables it to save power and run only what is needed based on environment and operational context. Not last, it promises its users (who are edge device developers) that its software can do all of this with nearly zero latency (thus the company name).

Steve Jurvetson, the veteran investor and co-founder of Future Ventures, says of possible applications to think of ‘face-detection algorithms running locally within security cameras or appliances, or Siri-like voice interfaces working instantly,’ even when there’s no network connectivity.

In a press release last month about Booz Allen’s investment in Latent AI, an SVP at the government services agency noted that the ‘ability to collect, analyze and quickly act on data is at the core’ of the U.S.’s national defense strategy.

Jurvetson plainly thinks it’s well positioned. He says he has been an advisory board member with SRI International for more than a decade and seen a good many technologies like Siri develop and then spin out of the organization. ‘This is the only one I have invested in,’ he says.”

And from the GovConWire interview: “Booz Allen selected Latent AI out of a pool of 30 to 40 companies offering capabilities that could help the consulting firm deliver on some machine learning-related contracts with the Army. ‘They were really best in breed,’ he said of Latent AI”

Compay: LatentAI.com