South Korea’s LG Group will invest $100 million over the next three years to develop more advanced artificial intelligence (AI) system with human-level learning, judging, and thinking capability under the direction of Chairman Koo Kwang-mo who has picked AI as key growth engine for the group.

Founded late last year, LG AI Research, an organization that specializes in AI technology in LG Group, on Monday announced it will invest $100 million over the next three years to develop hyper-mega AI system. It plans to set up AI computing infrastructure that is capable of processing 95.7 quadrillion calculations per second.

The research center plans to unveil the advanced AI with 600 billion machine learning parameters, more than triple of currently the most outstanding AI language model Generative Pre-trained Transformer 3 (GPT-3), later this year.

A parameter plays a similar role of synapse in a human brain that learns and remembers information via neuron. Bigger parameters lead to a more highly intelligent AI.

U.S. model GPT-3 can carry out natural conversation like humans and create essays and novels, while LG’s hyper-mega AI is expected to be able to not only learn languages but also understand images and videos with enhance data inference capabilities, LG said.

LG AI Research plans to develop a super massive AI with trillion or more parameters in the first half of next year, becoming the first to develop such large-scale model among global manufacturing companies.

The so-called hyper-mega AI system is expected to significantly transform working method. For example, the technology can further enhance capabilities of customer services Chatbot or Callbot that respond to queries in text or voice by analyzing their emotions.

The AI model can also shorten product development process as the professional developer will describe user interface in human language and AI will process software coding.

LG plans to accelerate new raw material research in next-generation battery and high-efficient light emitting sectors, using its advanced AI model. The conglomerate plans to establish a database by automatically analyzing chemistry dissertations and patents over 250 years to understand molecular structural image and extract various experiment conditions to set up a comprehensive substance database.

Bae Kyung-hoon, head of AI Research, said the center will seek to establish an open ecosystem with global partners to secure hyper-mega AI research, computing infrastructure and data and commercialization capability to seek world’s best research capacity.

By Park Jae-young and Lee Eun-joo

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