By Korea Deep Learning,Dist.by K.K.Kyodo News - Nov 10, 2026 - 10:50 Release ・VLM-based AI agent demonstrates potential in automating complex financial workflows through joint PoC with South Korea's Industrial Bank of Korea・Korean AI company advances PoC discussions with nine Japanese financial institutions following projects in Vietnam and Taiwan region SEOUL, South Korea, Nov. 10

NVIDIA AI Day Seoul opens at COEX, bringing together more than 2,000 developers, startups, enterprises and researchers together for sessions, hands-on NVIDIA Deep Learning Institute workshops and special events. The event celebrates Korea’s developer ecosystem and the latest advancements across open models and agents for sovereign AI, physical AI and industrial transformation, AI for science

The system represents every material it simulates, from a dune of sand to a protein molecule, as tiny particles and predicts where those particles will move one step at a time. Because it learns the underlying dynamics rather than being programmed with an equation, the model can adapt to materials, forces, and environments it never

Researchers from a collaborative team including Hua Zhang, Jing Li, and Haiyan Wang have developed a deep learning algorithm that stratifies cardiac arrhythmias into three distinct risk levels: normal, not life-threatening, and life-threatening. Published in the journal BioData Mining in July 2026, the study introduces a model named PaliConvLSTM, which utilizes a palindromic structure of

Overview Machine learning platforms support model development, training, testing, deployment, and performance monitoring. Tools such as TensorFlow, PyTorch, Vertex AI, and SageMaker serve different development needs, from open-source experimentation to enterprise AI applications. Platform selection depends on project complexity, computing requirements, development skills, scalability, and budget. A developer picking a machine learning tool in 2026

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Nous Research has released Arete-27B, a supervised fine-tune of Alibaba’s Qwen3.8-27B. Arete-27B is a 27B open-weight model that strips Chinese state framing from Qwen’s answers. On Nous’s own 803-prompt eval, answers containing propaganda fell from 22% to 0.9%. Developers get Qwen-class agentic skill without state-aligned answers. The weights, eval and training data are all public.

Clinical prediction models developed using artificial intelligence and traditional regression techniques can achieve virtually identical overall discrimination while generating sharply conflicting risk estimates for individual patients, according to an extensive diagnostic evaluation published in Diagnostic and Prognostic Research. Evaluating diagnostic data from thousands of individuals suspected of having deep vein thrombosis, an investigative team examined