Intel presents Loihi neuromorphic self-learning chip along with announcing a collaborative research strategy support the recently designed self-learning chip. The new chip resembles functioning of the human brain with the help of knowledge based on operation of the environment data. The chip will also be capable of using available data for learning the inference creation.
Intel’s chief technology officer, Dr Michael Mayberry who is the managing director senior vice-president for Intel Labs wrote the report on the basis of data obtained from the workshop Neuro Inspired Computational Elements hosting by Intel.
Dr. Michael (Mike) C. Mayberry, the leader of neuromorphic computing program at Intel Corporation said in a statement that, “We were pleased to find 100 percent functionality, a wide operating margin and few bugs overall. Our small-scale demonstrations that we had prepared on our emulator worked as expected on the real silicon, though, of course, running orders of magnitude faster.”
The company is alongside initiating the Intel Neuromorphic Research Community (INRC) as an addition to its efforts of creating a league of collaborators, which will span government, industry and academic research groups.
Besides of boosting the artificial intelligence, neuromorphic computing initiative also has been targeted at solving the real world problems that usually require months or sometimes a couple of years to evaluate.
Dr. Mayberry added to the statement that, “It’s a small but exciting example of how neuromorphic computing could deliver more efficient artificial intelligence. While this is a proof-of-concept that uses less than 1 percent of the chip’s resources, it shows that the architecture works, and we expect to see orders of magnitude gains in efficiency as the networks are scaled up to larger problems.”