SEOUL, May 18 (UPI) -- LG AI Research announced plans to spend more than $100 million over the next three years to create a general-purpose artificial neural network, which it calls "mega-scale" AI.
"Despite the improvement of AI technology, autonomous vehicles are still far less responsive to outside stimulus than Formula 1 drivers, and the communication skills of chatbots are not comparable to those of psychiatrists," LG AI Research chief Bae Kyung-hoon told an online event Monday, referring to artificial intelligence.
"To realize the potential of mega-scale AI, we will funnel all our resources in developing an AI which will beat top human experts. We will not make many AIs for specific areas. It will be a general purpose AI, which will be better than human experts across the board," he added.
LG AI Research is striving to secure dedicated AI servers and develop a computing infrastructure with better processing capacity than competitors.
In time with its foundation late last year, the Seoul-based think tank also said it will invest more than $175 million to hire top talent and carry out research.
LG's cross-city rival Samsung has also worked on artificial neural networks, headed by Samsung Research chief Sebastian Seung, a world-renowned AI expert.
"We're advancing our AI-infused technologies to enable you to do more than ever, and we cannot wait to show you how robotics will support us on the journey to a better normal," Seung said in a New Year's message in January.
The former Princeton University professor joined Samsung Electronics in 2018 to take charge of setting up the AI strategy of the world's No. 1 memory chipmaker.
In particular, he worked on the project of completing the comprehensive map of neural connections in the brain. The project's ultimate goal is to map the human brain.
"From the perspective of home appliance makers, advanced AI platforms are necessary to make customized products, which can better understand customers," AI commentator Kim Dong-jin told UPI News Korea.
"And an increasing number of companies would work on general-purpose AI platforms rather than special-purpose ones," said Kim, who heads JM Robotics in South Korea.