Artificial Intelligence Current Affairs

N Chandrasekaran Task force constituted to study AI application in military

The Ministry of Defence (Department of Defence Production) constituted a 17 member task force headed by Tata Sons Chairman N Chandrasekaran to study use and application of artificial intelligence (AI) in military.

The task force will study the whole gamut of issues surrounding strategic implications of AI in national security perspective, in global context.


The task force comprises National Cyber Security Coordinator Gulshan Rai, representatives from Indian Army, Navy and Airforce, chairman of Bharat Electronics Ltd (BEL), representatives from ISRO, Atomic Energy Commission and defence ministry. It also includes representation from academic institutes such as IISc-Bengaluru, and IIT Mumbai and Chennai.


Experts believe that AI has potential to provide military superiority apart from driving technology-driven economic growth. The future progress of AI has potential to have transformative impact on national security. It is also seen that AI is essentially dual use technology i.e. it can fuel technology driven economic growth and also has potential to provide military superiority. India has a strong talent pool of engineers which are advantages which need to be leveraged.

Artificial intelligence

AI is branch of computer science concerned with making computers behave like humans. In contrast to normal hardware and software, AI enables a machine to perceive (i.e. to think) and respond to its changing environment.


Reservoir computing system developed to help machines to think just like humans

Scientists from University of Michigan in US have developed a new type of neural network chip using reservoir computing system to improve efficiency of teaching machines to think like humans.

The network developed using this system can predict words before they are said during conversation and help predict future outcomes based on the present.

Key Facts

The system has been inspired by brains, neural networks are composed of neurons, or nodes, and synapses, the connections between nodes. It was developed using memristors, a special type of resistive device that can both perform logic and store data.

The system used a special memristor that memorises events only in near history. This contrasts with typical computer systems, where processors perform logic separate from memory modules. These memristors required less space and can be integrated more easily into existing silicon-based electronics.


The system was proved to be functional using test of handwriting recognition, a common benchmark among neural networks. Only 88 memristors were used in the system as compared to conventional network that requires thousands for the task and achieved 91% accuracy.