• NeuroMem CM1K chip is a pattern recognition accelerator with autonomous learning, suitable for text and data analytics, vision, audio, and multi-sensory fusion with orders of magnitude less energy and complexity than modern microprocessors.
  • 1024 neurons, all interconnected and working in parallel, recognizing or learning one pattern in 500 nsec and this regardless of the number of neurons committed in the chip
  • Neurons behave collectively as a K-Nearest Neighbor classifier or a Radial Basis Function and are especially suitable to cope with ill-defined and fuzzy data, high variability of context and novelty detection. Neurons also feature a collective built-in model generator which means that learning is done in real-time.
  • Last, but not least, multiple CM1K chips can be daisy-chained to scale a network from thousands to millions of neurons with the same speed performance and simplicity of operation as a single chip.

Brain-Inspired architecture

  • Queries or stimuli arebroadcasted to all the neurons at once
  • Winner takes all and inhibits weaker responders
  • The neurons know when they do not know and can therefore learn
  • Auto-correct themselves if a teacher contradicts their original response
  • Operate at low frequency (Mhz) and are low power
  • The number of neurons is highly scalable
  • Finally, the neurons  offer a feature which nature cannot reproduce yet and that is the ability to save and restore their knowledge.
  • Understanding the behavior of the neurons…Movie tutorials



  • The ZISC chip was invented by Guy Paillet, our CEO, and jointly developed with IBM-France in 1993, at the same time as the joint venture between Nestor and Intel was working on the NI1000 chip. The CM1K survived and inherited a successor in 2007 with the CM1K chip from General Vision.
  • In the past decade, the renewed interest for neuromorphic chips has awaken competition from companies such as IBM with its TrueNorth chip, QualComm with the Zeroth chip, and more (see market report). Their periodic mediatic campaigns are getting everyone accustomed to the fact that brain-like chips are coming to the market, but where can these chips be purchased? and to whom will they be accessible?
  • Prestigious universities and laboratories are designing neuromorphic chips such as the MIT, Stanford, GorgiaTech, and more, but again when will they be available to the public? how easy to use?
  • It seems that today, only the NeuroMem neurons are commercially available and users have 2 choices:  Our CM1K chip with 1024 neurons (expandable and with full access to the neurons), or the Curie module from Intel with 128 neurons and limited access to the neurons.
  • What about FPGA? The NeuroMem IP is available for FPGA and especially suitable for SOC running at high frequency. However, it is a viable solution only up to a certain number of neurons, after which the size and cost of the FPGA become unpractical for consumer appliances and IoT.