SBIR/STTR Research Award

INTELLIGENT SYSTEMS

Award identifier e227d327f9c0f168deb8e80db579ff93a00e0860fb9b0b50ead0da195c0f238bAwarding agency National Science Foundation

Award amount

$34,000

Program and phase

SBIR · Phase I

Award year

1983

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Microcirc Assoc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

NOVEL ASSOCIATIVE MEMORY CIRCUITS AND PROCESSING ELEMENTS FOR FUTURE PARALLEL DATA PROCESSING AND COMPUTING SYSTEMS ARE PROPOSED FORRESEARCH AND DEVELOPMENT. THESE VLSI CIRCUITS WILL FEATURE HIGH DENSITY, HIGH PERFORMANCE, RADIATION HARDNESS AND WIDE OPERATING TEMPERATURE RANGE. THE MOST PROMISING APPROACH FOR INTELLIGENT NON-VON NEUMAN TYPE OF SYSTEMS HAS BEEN BASED ON ASSOCIATIVE OR CONTENT ADDRESSABLE MEMORIES, BUT THEIR IMPLEMENTATIONS HAS BEEN HINDERED BY THE UNECONOMICAL SIZE AND BY THE SUSCEPTABILITY TO DEVICE PARAMETER VARIATIONS OF THE ASSOCIATIVE MEMORIES. THE MAIN OBJECTIVE OF THIS PROJECT IS TO PROVIDE ASSOCIATIVE MEMORIES AND PROCESSING ELEMENTS FOR ADVANCED ADAPTIVE ARRAY PROCESSORS, WHICH FEATURE THE DENSITY, PERFORMANCE AND RELIABILITY OF COMPARABLE STATIC RANDOM ACCESS MEMORIES. THE EFFORT IN PHASE I WILL INCLUDE FEASIBILITY ESTABLISHMENT OF NOVEL ASSOCIATIVE MEMORY CIRCUITS BY COMPUTER AIDED ANALYSES AND SIMULATIONS AS WELL AS THE DESIGN OF A TEST CHIP. IN PHASE II A COMPLETE CONTENTADDRESSABLE MEMORY AND AN ASSOCIATIVE PROCESSING ELEMENT WILL BE DEVELOPED IN ADDITION TO THE FABRICATION AND EVALUATION OF THE TEST CHIP. THE RESULTS WILL PROVIDE KEY ELEMENTS FOR INTELLIGENT KNOWLEDGE BASED ROBOTS, CONTROLLINGAND PROCESSING SYSTEMS AS WELL AS FOR LARGE COMPUTING PROBLEMS. IN SYSTEMS, THE CHARACTERISTICS OF SPEED, POWER, TOLERANCE TO EXTREME ENVIRONMENTS. WEIGHT RELIABILITY, MAINTENANCE AND LIFE TIME WILL BE IMPROVED.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.