IBM today unveiled a software ecosystem designed for programming silicon chips.

IBM continues to deploy its efforts in the smart technologies concept. Today, the company has unveiled a software ecosystem designed for programming silicon chips.

Connectikpeople has observed that, the technology could enable a new generation of intelligent sensor networks that mimic the
brain’s abilities for perception, action, and cognition.

 “We are working to create a FORTRAN for synaptic computing chips. While complementing today’s computers, this will bring forth a fundamentally new technological capability in terms of programming and applying emerging learning systems.” said Dr. Dharmendra S. Modha, Principal Investigator and Senior Manager, IBM Research.

Pending the presentation of this technology at The International Joint Conference on Neural Networks in Dallas, TX, to advance and enable this new ecosystem, IBM researchers have developed:

  Simulator: A multi-threaded, massively parallel and highly scalable functional software simulator of a cognitive computing architecture comprising a network of neurosynaptic cores.  

  Neuron Model: A simple, digital, highly parameterized spiking neuron model that forms a fundamental information processing unit of brain-like computation and supports a wide range of deterministic and stochastic neural computations, codes, and behaviors. 

Library: A cognitive system store containing designs and implementations of consistent, parameterized, large-scale algorithms and applications that link massively parallel, multi-modal, spatio-temporal sensors and actuators together in real-time.

 Laboratory: A novel teaching curriculum that spans the architecture, neuron specification, chip simulator, programming language, application library and prototype design models. And more.  

Connectikpeople has also observed that, IBM’s long-term goal is to build a chip system with ten billion neurons and hundred trillion synapses, while consuming merely one kilowatt of power and occupying less than two liters of volume.