"AI Development to Respond to COVID-19 is Slow... Data Infrastructure Must Be Secured"

Samsung SDS Hosts Developer Conference 'Techtonic 2020'

[Asia Economy Reporter Bu Aeri] There has been a claim that a mobile infrastructure for collecting and learning health-related data is necessary because the development of artificial intelligence (AI) to respond to infectious diseases like the novel coronavirus infection (COVID-19) is slow.

Samsung SDS held the developer conference 'Techtonic 2020' on the 12th. Professor Kung Xiangzhong from Harvard University, who delivered the keynote speech, pointed out, "Although AI has emerged as a highly disruptive field due to COVID-19, its limitations have also become apparent."

Professor Kung said, "AI cannot keep up with the speed of virus spread and mutation," and identified the establishment of a mobile healthcare infrastructure capable of rapidly collecting data necessary for AI development as a key task.

He emphasized, "Various data generated through smartphones and social network services (SNS) must be secured in real-time at the point of origin and used for learning," adding, "The key is to automatically collect essential data through a control tower."

Meanwhile, Techtonic is an event where Samsung SDS shares its latest IT technology development know-how to expand the developer ecosystem. It started in 2018 and this year marks the third event. This year's event was held via online live streaming due to the novel coronavirus infection (COVID-19). Over 6,500 people pre-registered, which is double the number from last year.

Hong Won-pyo, CEO of Samsung SDS, said, "The crisis brought by COVID-19 is expected to become a catalyst for rapidly adopting technology and turn into a turning point leading to new opportunities for innovation," adding, "It is a meaningful occasion for the development of the developer community."

Following Professor Kung's keynote speech, Samsung SDS AI experts introduced ▲ prediction of eye diseases through video deep learning ▲ research achievements in reinforcement learning for optimizing design, manufacturing, and logistics processes adopted by the Neural Information Processing Systems conference ▲ and cases of improving Korean language recognition AI performance.

The Techtonic presentation videos and materials will be available on the Samsung SDS website starting from the 25th.

This content was produced with the assistance of AI translation services.