Intel has announced “Self-learning Neuromorphic chip” which it will be handing over to leading university and research institutions in 2018 to advance AI even further.

What is important here is that it’s not just one Chip. It’s a neural network chip which will work together and mimics the behavior of the Human brain with synapses, and networks. It’s definitely the first of its kind of Chip which will learn at a rate that is a 1 million times improvement. The current chip right now emulates a total of 130,000 neurons and 130 million synapses. Further, it is up to 1,000 times more energy-efficient than general purpose computing required for typical training systems.

Here is the list of chip features:

Fully asynchronous neuromorphic many core mesh that supports a wide range of sparse, hierarchical and recurrent neural network topologies with each neuron capable of communicating with thousands of other neurons.

Each neuromorphic core includes a learning engine that can be programmed to adapt network parameters during operation, supporting supervised, unsupervised, reinforcement and other learning paradigms.
Fabrication on Intel’s 14 nm process technology.
A total of 130,000 neurons and 130 million synapses.
Development and testing of several algorithms with high algorithmic efficiency for problems including path planning, constraint satisfaction, sparse coding, dictionary learning, and dynamic pattern learning and adaptation.