Was actually looking for something else and Mentat came up with our friend Blue Ridge Envisioneering.
I know it was discussed briefly beginning of this year but I can see Phase II has been completed in May.
Quite liked their reason (my bold) for the Phase II award originally (Research Objective) and curious what the outcome will be once they've digested the reports and results and whether will go to Phase IIi.
Navair were happy to throw $1.1m at it over the last 2.5 yrs roughly.
N6833522C0158
Definitive Contract
OverviewStatusSBIRHierarchyTimelineSubsOppsHistory 4People 1Additional
Overview
Government Description
SBIR PHASE II
Awardee
Blue Ridge Envisioneering
Awarding / Funding Agency
NAWC Aircraft Division (NAWCAD) [DoD - USN - NAVAIR]
NAICS
541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
PSC
AC12 - National Defense R&D Services; Department Of Defense - Military; Applied Research
Place of Performance
Chantilly, VA 20151 United States
Pricing
Cost Plus Fixed Fee
Set Aside
Small Business Set Aside - Total (SBA)
Extent Competed
Full And Open Competition After Exclusion Of Sources
Est. Average FTE
3
Related Opportunity
None
Analysis Notes
Amendment Since initial award the Potential End Date has been shortened from 06/27/24 to 05/24/24.
SBIR Details
Research Type
Small Business Innovation Research Program (SBIR) Phase II
Title
MENTAT
Related Solicitation
Implementing Neural Network Algorithms on Neuromorphic Processors
Abstract
Deep Neural Networks (DNN) have become a critical component of tactical applications, assisting the warfighter in interpreting and making decisions from vast and disparate sources of data. Whether image, signal or text data, remotely sensed or scraped from the web, cooperatively collected or intercepted, DNNs are the go-to tool for rapid processing of this information to extract relevant features and enable the automated execution of downstream applications. Deployment of DNNs in data centers, ground stations and other locations with extensive power infrastructure has become commonplace but at the edge, where the tactical user operates, is very difficult. Secure, reliable, high bandwidth communications are a constrained resource for tactical applications which limits the ability to routed data collected at the edge back to a centralized processing location. Data must therefore be processed in real-time at the point of ingest which has its own challenges as almost all DNNs are developed to run on power hungry GPUs at wattages exceeding the practical capacity of solar power sources typically available at the edge. So what then is the future of advanced AI for the tactical end user where power and communications are in limited supply. Neuromorphic processors may provide the answer. Blue Ridge Envisioneering, Inc. (BRE) proposes the development of a systematic and methodical approach to deploying Deep Neural Network (DNN) architectures on neuromorphic hardware and evaluating their performance relative to a traditional GPU-based deployment. BRE will develop and document a process for benchmarking a DNN' s performance on a standard GPU, converting it to run on commercially available neuromorphic hardware, training and evaluating model accuracy for a range of available bit quantizations, characterizing the trade between power consumption and the various bit quantizations, and characterizing the trade between throughput/latency and the various bit quantizations. This process will be demonstrated on a Deep Convolutional Neural Network trained to classify Electronic Warfare (EW) emitters in data collected by AFRL in 2011. The BrainChip Akida Event Domain Neural Processor development environment will be utilized for demonstration as it provides a simulated execution environment for running converted models under the discrete, low quantization constraints of neuromorphic hardware. In the option effort we pursue direct Spiking Neural Network (SNN) implementation and compare performance on the Akida hardware, and potentially other vendor's hardware as well. We demonstrate the capability operating on real hardware in a relevant environment by conducting a data collection and demonstration activity at a U.S. test range with relevant EW emitters.
Research Objective
The goal of phase II is to continue the R&D efforts initiated in Phase I. Funding is based on the results achieved in Phase I and the scientific and technical merit and commercial potential of the project proposed in Phase II.
Topic Code
N202-099
Agency Tracking Number
N202-099-1097
Solicitation Number
20.2
Contact
Edward Zimmer
Status
(Complete)
Last Modified
2/28/24
Period of Performance
12/16/21
Start Date
5/24/24
Current End Date
5/24/24
Potential End Date
100% Complete
Obligations
$1.1M
Total Obligated
$1.1M
Current Award
$1.1M
Potential Award
100% Funded
Award Hierarchy
Definitive Contract
N6833522C0158
Subcontracts
0
Activity Timeline
Transaction History
Modifications to N6833522C0158
| Mod # | Action Type | Obligation | End Date | Potential End Date | Action Date |
|---|
| | | | | |
|---|
| P00003 | Other Administrative Action | $0.0 | 05/24/24 | 05/24/24 | 02/28/24 |
- Description RESEARCH AND DEVELOPMENT
| | | | | |
| P00002 | Funding Only Action | $407.3K | 01/16/25 | 01/16/25 | 07/12/23 |
- Description FULLY FUND CLIN 0003.
| | | | | |
| P00001 | Exercise An Option | $400.0K | 02/24/24 | 02/24/24 | 08/11/22 |
- Description RESEARCH AND DEVELOPMENT.
| | | | | |
| 0 | None | $300.2K | 12/27/22 | 06/27/24 | 12/16/21 |
- Description SBIR PHASE II
| | | | | |
brainchip.com
I will never buy a pizza for 1000 xrp like the dude did with his Bitcoins. By the way, Many people still donāt understand the purpose of a cryptocurrency and treat it like a stock they sell when its value goes up. However, it makes more sense to hold a trusted currency. Would anyone trade their dollars for rupees? Unfathomable.
www.linkedin.com
at the European Defense Tech Hackathon, which took place in Paris over the weekend.
brave1.gov.ua
