It has been identified that following current technological trends is the truth is lagging behind, and that there’s a need to speculate heavily in cutting-edge technological fields that others are less curious about. The evaluation is that detecting ‘weak signals’ of those recent technologies is a solution to increase national competitiveness.
Park Kang-min, a senior researcher at Software (SPRi) Policy Research Institute, identified weak signals of promising recent technologies and took the lead in investing in artificial intelligence (AI) technology development under the theme of ‘Digital Future Technology Outlook’ on the ‘2025 SW Industry Outlook Conference’ held at COEX in Seoul on the third. announced the outcomes of a study that said it needs to be done.
The technology detection evaluation utilized in this study was based on research reports from about 20 overseas countries and institutions and papers published in the net archive (arXiv) from 2007 to 2024.
Researcher Park classified the technologies covered in theses and other articles into ‘conceptual technologies’ and subdivided ‘compositional technologies’.
Amongst them, conceptual technologies were classified through a survey into ▲’trend technologies’, that are already popular concepts, ▲’emerging technologies’ that academia and industry are listening to, and ▲weak signals, which have the potential to turn into promising in the long run but for which much research has not been conducted. .
He said, “It is just too late to research trend technologies or technologies which might be already receiving attention, so there may be a must repeatedly monitor weak signal technologies that would turn into promising technologies in the long run.” He added, “You may be competitive only by leading the research and development of promising technologies.” He said.
Key technology keywords that may emerge next yr include ‘AI agent’, ‘advanced computing’, and ‘AI reliability evaluation framework (TRiSM)’.
As well as, weak signal technologies resembling ▲brain computing, ▲mental AI, ▲quantum information, and ▲reconfigurable intelligent surface were introduced.
Through a country-by-country evaluation, he said, “South Korea needs AI convergence investment that capitalizes on its strengths in manufacturing and communications.”
This study can be made public as a report on the Software Policy Research Institute website.
Meanwhile, the conference continued with presentations on the international situation, AI technology hegemony, IT market outlook, spatial computing technology and industry outlook, etc.
Kim Sang-bae, a professor on the Department of Political Science and Diplomacy at Seoul National University, analyzed that the re-election of President Trump will intensify the competition for AI hegemony resulting from three geopolitical issues: the US-China conflict, the Russia-Ukraine war, and the Israel-Hamas war. Particularly, it was predicted that “from a military security perspective, export control of advanced weapons using AI technology can be a crucial subject of sanctions.”
“It’s time to discover use cases that apply AI to all the corporate organization, not only specific business areas,” said Kim Kyung-min, director of IDC, under the theme of ‘AI-led business strategy.’ Moreover, we’d like to maneuver toward an autonomous process led by AI,” he explained.
In the sphere of spatial computing, Jeon Jin-soo, former CEO of Super Labs, appeared and asked concerning the time of popularization of spatial computing, saying, “We expect devices resembling Meta’s Ray-Ban and Orion to turn into common inside 5 years.” He added, “An important thing is a practical and convenient form factor and “There have to be success stories for every industry,” he emphasized.
As well as, Professor Nam-il Kim of Konkuk University, Seung-cheol Baek, lawyer at Beat Law Firm, and Myeong-shin Kim, head of policy at LG AI Research Institute, shared insights on AI trends and response strategies of their respective fields of experience.
Meanwhile, this event was hosted by the Ministry of Science and ICT and arranged by the Software Policy Research Institute (SPRi, Director Kim Hyeong-cheol).
Reporter Park Soo-bin sbin08@aitimes.com
