Here is the big revolutionary news. MIT( Massachusetts Institute of Technology) Bringing neural networks to cellphones

Here is the big revolutionary news. MIT(Massachusetts Institute of Technology) Bringing neural networks to cellphones

Well, obviously everyone does not know about the Neural Network. So, first we will get to know about neural network here.

In recent years, the best-performing artificial-intelligence systems — in areas such as autonomous driving, speech recognition, computer vision, and automatic translation — have come courtesy of software systems known as neural networks.

The researchers describe the work in a paper they’re presenting next week at the Computer Vision and Pattern Recognition Conference. In the paper, they report that the methods offered as much as a 73 percent reduction in power consumption over the standard implementation of neural networks, and as much as a 43 percent reduction over the best previous method for paring the networks down.


Recently, much activity in the deep-learning community has been directed toward development of efficient neural-network architectures for computationally constrained platforms,” says Hartwig Adam, the team lead for mobile vision at Google. “However, most of this research is focused on either reducing model size or computation, while for smartphones and many other devices energy consumption is of utmost importance because of battery usage and heat restrictions

Energy evaluator

Loosely based on the anatomy of the brain, neural networks consist of thousands or even millions of simple but densely interconnected information-processing nodes, usually organized into layers. Different types of networks vary according to their number of layers, the number of connections between the nodes, and the number of nodes in each layer.


The MIT researchers thus begin pruning those layers of the network that consume the most energy. That way, the cuts translate to the greatest possible energy savings. They call this method “energy-aware pruning.”