The Indian Army will install a piece of artificial intelligence along the Line of Control in order to break through the language barrier when interacting with the People’s Liberation Army of China.
The Northern borders have seen testing of the device. The company claims that efforts are being made to provide the technology necessary for Mandarin to Hindi translation.
According to experts, technology could help prevent misunderstandings like those that frequently occur close to border outposts. Additionally, it will help to effectively resolve disputes brought on by the developments at Ground Zero.
Anuroop Iyengar, a technocrat and founder of CogKnit, has been working on creating a gadget that can recognise Mandarin and translate it into English.
Iyengar stated that the device will help with better communication during meetings of border troops and in the case of any standoffs because it can distinguish voices at a distance of five feet.
In addition, he said, “We are working on reducing the device’s weight to 200 gms from 600 gms and improving the effective range to 15 feet or even more.”
The Indo-Tibetan Border Police has mandated that all of its officers and soldiers study Mandarin in order to address the major communication gap. By 2030, it’s anticipated that every member of the force will know the language.
The Indian Army has published a bulletin requesting applications for Mandarin speakers who would like to join the Territorial Army. This will make it lot easier for the soldiers stationed at Ground Zero to make their views to their Chinese colleagues.
On July 11, Rajnath Singh, the defence minister, unveiled 75 artificial intelligence (AI) gadgets intended to introduce cutting-edge disruptive technologies into the armed services.
Lethal autonomous weapon systems, autonomous/unmanned/robotic systems, block chain-based automation, command, control, communication, computer & intelligence, surveillance & reconnaissance, cyber security, human behaviour analysis, intelligent monitoring systems, logistics and supply chain management, operational data analytics, manufacturing and maintenance, simulators/test equipment, and special effects are a few of the platforms that have been introduced.