Brain-inspired Cognition in Next-generation Racetrack Memories

BIONETS: BIO-inspired NExt generaTion networkS

The amount of information in the new emerging all-embracing pervasive environments will be enormous. Current Internet protocol conceived almost forty years ago, were never planned for these emerging pervasive environments. The communications requirements placed by these protocols on the low cost sensor and tag nodes are in direct contradiction to the fundamental goals if these nodes, being smal...

A strategy for the design of skyrmion racetrack memories

Magnetic storage based on racetrack memory is very promising for the design of ultra-dense, low-cost and low-power storage technology. Information can be coded in a magnetic region between two domain walls or, as predicted recently, in topological magnetic objects known as skyrmions. Here, we show the technological advantages and limitations of using Bloch and Néel skyrmions manipulated by spin...

The future of biologically inspired next‐generation factories for chemicals

This century is expected to see a drastic acceleration of the field of industrial biology. Biotechnological processes are envisioned to facilitate the production of either highvalue compounds or materials that cannot be made by current methods, or high-volume chemicals where biological processes are more economical and resource efficient with a reduced environmental impact. Industrial manufactu...

Modeling storage and retrieval of memories in the brain

We have proposed a neural network model that stores the incoming information after orthogonalizing it in the same manner as vectors are orthogonalized. The scheme enables the brain to compare a new informational system with those in the memory and store its similarities and differences with the old memories in an economical manner. This allows the brain to have an enormous capacity and yet the ...

Toward robust visual cognition through brain-inspired computing