AI Briefing#lg-ai-research
The latest AI and developer news about #lg-ai-research, with the original source and a short summary.
The latest AI and developer news about #lg-ai-research, with the original source and a short summary.
LG AI Research has unveiled the SciNO framework, which enables stable causal discovery even in high-dimensional data environments.
LG AI Research has unveiled the SciNO framework, which supports stable causal relationship inference even in high-dimensional data.
LG AI Research has developed K-EXAONE, a large-scale AI model that maximizes both efficiency and performance.
LG AI Research has developed K-EXAONE, a large-scale AI model that maximizes efficiency and reasoning capability.
LG AI Research runs an AI Ethics Seminar to build trustworthy AI that goes beyond technological innovation to enrich human life.
LG AI Research is running an AI ethics seminar from the philosophical perspective that AI should be a tool that helps humans actively grow.
LG AI Research has developed the RAPID platform, which makes design and analysis easy, to improve the efficiency of industrial automation.
LG AI Research unveiled a multi-phase reinforcement learning framework and RL-Studio optimized for complex industrial settings.
LG AI Research has unveiled Multi-Phase RL, a reinforcement learning framework capable of complex stage-by-stage transitions, along with its platform RL-Studio.
LG AI Research unveiled the AEGIS platform, which detects anomalies at manufacturing sites through collaboration between expert knowledge and AI, at AAAI 2026.
LG AI Research unveiled AEGIS, a platform where domain experts' knowledge and AI collaborate to detect anomalies in manufacturing sites.
As we prepare for the era of Agentic AI, which goes beyond simple text generation to carry out goals, securing observability through ontology is key.
LG AI Research showcased structural reasoning technology combining knowledge graphs and LLMs at AAAI 2026, demonstrating agent reliability and efficiency.
LG AI Research has released EXAONE 4.5, a multimodal model that understands text and images simultaneously, as an open-weight model.
LG AI Research has unveiled EXAONE 4.5, an open-weight VLM that processes visual information and language simultaneously.
LG AI Research and VUMC collaborated to present a next-generation cancer research model leveraging 3D spatial biology and pathology AI.
LG AI Research collaborated with VUMC to unveil next-generation cancer research achievements combining 3D/4D spatial biology and AI.
LG AI Research has developed a mid-to-long-term forecasting model based on a Causal Map that structures the causal relationships of lithium prices using an LLM.
This introduces a technology that maximizes infrastructure efficiency by reallocating idle GPU resources—caused by traffic fluctuations in LLM services—to model training and research.
This post covers the concept and key technical directions of Robot Foundation Models (RFM), robots that perform tasks by directly interacting within physical environments.
LG AI Research has proposed 'Cluster-Aware Upcycling,' a technology that solves the problem of redundancy among experts when converting existing Dense models into MoE.
LG AI Research has unveiled Cluster-Aware Upcycling technology that reduces expert redundancy and maximizes specialization when converting a Dense model into an MoE.
Support for the EXAONE 4.5 model has been added to the llama.cpp open-source project.
LG AI Research leveraged vLLM metrics to repurpose idle GPUs for research jobs, maximizing infrastructure efficiency.