| Mobile Web

Search results for One Model

AI & Enterprise

AI-driven security automation to find and fix flaws is already reality, Microsoft executive says

Tae-soo Kim (김태수), vice president for agentic security at Microsoft headquarters, said AI-driven security automation to find and fix bugs is already usable now and that combining multiple AI models can improve results. Speaking at Codegate 2026 in Seoul, he said distinguishing what AI should handle versus what humans should judge is key. He described a multi-agent approach used in DARPA’s AI Cyber Challenge and Microsoft’s MDASH project.

AI & Enterprise

Nums AI raises 4 billion won to speed tabular foundation model development

Nums AI, which develops a Tabular Foundation Model for structured data, said on July 20 it has raised its first investment worth 4 billion won. Stonebridge Ventures led the round, with participation from SBVA, KT Investment and Base Ventures. The company said its model can cover tasks such as demand forecasting, anomaly detection and credit assessment with a single model, and plans to expand GPU infrastructure and its research organization.

AI & Enterprise

AI fact-checking tests of five latest models show 67 percent disagreement

Can AI replace fact-checking? Tests of five latest AI models on 1,000 identical claims found their verdicts diverged in more than two-thirds of cases. Fact-checking service Lenz analysed agreement rates across major large language models and found all five reached the same conclusion in 328 cases, while 672 showed at least one differing judgment. Lenz said the study was not aimed at picking a best model and is running follow-up accuracy research with human labels.