Researchers find a machine learning technique that can help soldiers learn 13 times faster than conventional methods

This work is part of Army's larger focus on artificial intelligence and machine learning research initiatives pursued to help to gain a strategic advantage.

A novel machine learning technique could help soldiers to learn 13 times faster than conventional methods as well as help save lives, say researchers, including one of Indian-origin.

Researchers find a machine learning technique that can help soldiers learn 13 times faster than conventional methods

Representational image. Reuters.

Using a low-cost, lightweight hardware and implementing collaborative filtering — a well-known machine learning technique — the team found that soldiers are able to decipher hints of information faster and more quickly deploy solutions, such as recognising threats like a vehicle-borne improvised explosive device, or potential danger zones from aerial war zone images.

This technique could eventually become part of a suite of tools embedded on the next generation combat vehicle, offering cognitive services and devices for warfighters in distributed coalition environments, said Rajgopal Kannan, a researcher, from the US Army Research Laboratory.

This work is part of Army's larger focus on artificial intelligence and machine learning research initiatives pursued to help to gain a strategic advantage and ensure warfighter superiority with applications such as on-field adaptive processing and tactical computing, he said.

The paper on this new research won the best-paper award at the 26th ACM/SIGDA International Symposium on Field Programmable Gate Arrays in Monterey, California in February.

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