You are here

Hokkien Low Density Language Capability

Award Information
Agency: Department of Defense
Branch: Special Operations Command
Contract: H9240523P0014
Agency Tracking Number: S232-002-0066
Amount: $174,965.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: SOCOM232-002
Solicitation Number: 23.2
Timeline
Solicitation Year: 2023
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-08-29
Award End Date (Contract End Date): 2024-04-01
Small Business Information
903 Sneath Ln, Suite 123
San Bruno, CA 94066-2407
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Sam Fok
 (314) 341-4030
 sbir@socom.mil
Business Contact
 Sam Fok
Phone: (314) 341-4030
Email: sam@femtosense.ai
Research Institution
N/A
Abstract

Femtosense is an innovative tech startup leading the charge to deploy sparse AI using novel techniques that are far more affordable and easier to implement than traditional AI computational technologies. Femtosense’s invention – the Sparse Processing Unit (SPU-001) is a TRL level 7 processing chip poised to disrupt the $50B AI hardware market. It offers best-in-class SWaP-C (Size, Weight, Power, and Cost) tradeoffs and can enable applications other accelerators cannot thanks to first class support for sparse neural networks. Running sparse neural networks, as opposed to dense ones, boasts a 10x reduction in required memory and 100x reduction in power, with a minimal or negligible drop in accuracy. Femtosense designs their own bespoke sparse neural networks for the most challenging but high value applications, many of which offer critical value to soldiers, officers, and other personnel throughout the DoD. Femtosense also offers tools for engineers and researchers to train, optimize, and deploy sparse versions of their own networks, open-source networks, or 3rd party networks, to the SPU through common ML frameworks such as TensorFlow Lite and PyTorch. Femtosense has commercialized this technology and is bringing it to market. SPU-001 has been silicon validated, taped-out in the 22nm ULL process from TSMC. Femtosense is undergoing evaluation with 20+ companies to enable problem-solving applications in hearing aids, TWS earbuds/headsets, always-listening remote controls, TVs and displays, smartphones, and IoT sensors. Femtosense is currently developing SPU-002 for extending the capabilities of SPU-001 to the Computer Vision and Natural Language Processing domains. SPU-002 will be optimized for transformer layers, which are the backbones of SotA large language models (LLMs), making it the best choice for processing SWaP-constrained language workloads like live translation.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government