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November 13, 2012
SALT LAKE CITY, UT, Nov. 13 – CogniMem Technologies Inc., today unveiled the industry’s first greater than 40,000-neuron, scalable cognitive memory computing system based on CogniBlox, a memory-based parallel processing capability that architecturally implements how the human brain processes data. As a result, computing can scale on hardware without any additional software adjustments. CogniMem introduced and displayed the system at the 2012 Supercomputing Conference here.
With architectural re-configurability and local Magnetoresistive Random-Access Memory (MRAM), the CogniBlox system can scale to very large arrays of cognitive memory and configurations. The result is a platform for deployment of real artificial intelligence with exceptional speed performance and low power consumption. The greater than 40,000-neuron cognitive memory system consists of 10 CogniBlox boards, offering a large bank of cognitive memories with no impact on operation and enabling a path to exascale computing for a wide range of data-mining applications.
“Our greater than 40,000-neuron cognitive memory system most quickly allows you to find your proverbial needle in the haystack. It’s based on CogniBlox architecture that features multiple chips working on the same task in parallel, processing complicated functions just like the brain does,” said Bruce McCormick, co-founder, president and CEO of CogniMem. “CogniBlox processes and accesses memory in pure parallel, presenting a marked departure from traditional computing techniques that have memory bottlenecks and synchronization and communication difficulties.”
Providing unmatched computing solutions for pattern recognition and data comparisons, CogniBlox architecture is based on alignment of multiple CM1K (1,024 memory processors each) components. The technology allows for constant parallel matching of vectors in 10 microseconds, regardless of the number of vectors being compared at the same time. The CM1K chip is ideal for determining closest vectors in video searching, real-time surveillance and analytics, data mining, genomics, fingerprint matching, hyperspectral image analysis, financial services, weather forecasting and a wide range of scientific computational tasks.
Based on multiple generations of IBM patented ZISC technology, the CogniBlox system is available now. Prices start at $3,000 for a single board CogniBlox (4,096 (or 4K) cognitive memories), with volume discounts for the larger multi-board CogniBlox configurations. The greater than 40,000-neuron cognitive memory stack has provision for further expansion that is currently under development—leading to a one-million neuron cognitive memory configuration, with little or no additional latency, to be released in the near future.
CogniMem is demonstrating its 40,000-neuron cognitive memory system Nov. 13-15 at Booth # 1534 at the SC12 conference.
About CogniMem Technologies
CogniMem Technologies Inc., is a fabless semiconductor company designing components for high speed and parallel pattern recognition. It is committed to providing truly parallel hardware-based solutions toward solving AI and pattern recognition problems. Inspired by his invention of the technology and subsequent joint patent with IBM in 1993 (manufactured as the ZISC chip), CogniMem’s Guy Paillet works alongside co-founders Anne Menendez and Bruce McCormick to lead a team to develop the next generation of pattern recognition chips for sensory devices and cognitive computing systems. Today, CogniMem is manufacturing under license from IBM and a powerful evolution of this technology with 1,024 cognitive memories that is 20 times larger than the capacity of ZISC chips. CogniMem’s mission is to provide ICs, modules, development tools and reference designs to help customers solve their difficult pattern recognition problems as part of their overall product offering.
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