NeuroMem® Technology

Associative Memories

  • Content addressable
  • No address, no index
  • Exact and fuzzy match
  • Fastest RBF
  • Uncertainty management
  • Fastest KNN

+ Trainable ANN

  • On-chip Learning
  • Intrinsic deduplication
  • Convergence
  • Traceability
  • Portability

+ Parallel Architecture

  • Low clock frequency
  • Low power consumption
  • Deterministic latency
  • Match 1 in N in < 10 µsec
  • Fixed low pin count
  • Seamless and high scalability

Digital neurons inspired by biology

  • All interconnected and working in parallel following a Winner-Takes-All collective behavior
  • Recognize and learn a pattern in a constant time regardless of the number of neurons committed in the chip
  • Behave collectively as  a KNN (K-Nearest Neighbor) or RBF classifier (Radial Basis Function).
  • Cope with ill-defined and fuzzy data, high variability of context and novelty detection.
  • Multiple NeuroMem chips can be daisy-chained to scale a network from 1000s to millions of neurons with the same speed and simplicity of operation as a single chip.
  • Amazingly simple to deploy