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The latest AI and developer news from LG AI Research, with short summaries.

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LG AI Research 631

LG AI Research unveiled a multi-phase reinforcement learning framework and RL-Studio optimized for complex industrial settings.

·2026.07.16 09:00

[AAAI 2026] RL-Studio: A System for Multi-Phase Reinforcement Learning Experiments

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.

·2026.07.16 09:00

LG AI Research: AEGIS

LG AI Research unveiled the AEGIS platform, which detects anomalies at manufacturing sites through collaboration between expert knowledge and AI, at AAAI 2026.

·2026.07.16 09:00

[AAAI 2026] AEGIS: An Industrial Anomaly Detection System That Evolves With Field Experts - LG AI Research BLOG

LG AI Research unveiled AEGIS, a platform where domain experts' knowledge and AI collaborate to detect anomalies in manufacturing sites.

·2026.07.16 09:00

Organizational Design Guide for Adopting Agentic AI - LG AI Research BLOG

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.

·2026.07.16 09:00

LG AI Research: AAAI 2026 Demo Paper Presentations and Technical Insights

LG AI Research showcased structural reasoning technology combining knowledge graphs and LLMs at AAAI 2026, demonstrating agent reliability and efficiency.

·2026.07.16 09:00

LG AI Research's First Public Vision Language Model, EXAONE 4.5

LG AI Research has released EXAONE 4.5, a multimodal model that understands text and images simultaneously, as an open-weight model.

·2026.07.16 09:00

LG's First Public Vision Language Model, EXAONE 4.5 - LG AI Research BLOG

LG AI Research has unveiled EXAONE 4.5, an open-weight VLM that processes visual information and language simultaneously.

·2026.07.16 09:00

LG AI Research: 3D Spatial Biology, Pathology AI, and Multi-Omics Foundation Models

LG AI Research and VUMC collaborated to present a next-generation cancer research model leveraging 3D spatial biology and pathology AI.

·2026.07.16 09:00

3D Spatial Biology, Pathology AI, and Multi-Omics Foundation Models

LG AI Research collaborated with VUMC to unveil next-generation cancer research achievements combining 3D/4D spatial biology and AI.

·2026.07.16 09:00

LG AI Research 646

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.

·2026.07.16 09:00

GPU Job Scheduling Using Idle Inference GPU Pools

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.

·2026.07.16 09:00

GPU Job Scheduling Using Idle Inference GPU Pool

We built an efficient scheduling pipeline that reallocates idle GPU resources, which occur due to traffic fluctuations in LLM services, for research and training purposes.

·2026.07.16 09:00

RFM: Action-Centric Intelligence for Physical AI - LG AI Research Blog

This post covers the concept and key technical directions of Robot Foundation Models (RFM), robots that perform tasks by directly interacting within physical environments.

·2026.07.16 09:00

Beyond the 'Thinking Brain' to the 'Acting Brain'

We look at the two core technical directions of Robot Foundation Models (RFM), which go beyond LLMs in virtual worlds to interact with the physical environment.

·2026.07.16 09:00

[CVPR 2026] An Upcycling Method for Creating True Experts within MoE Architecture - LG AI Research BLOG

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.

·2026.07.16 09:00

[CVPR 2026] An Upcycling Method for Creating Truly Meaningful Experts within the Mixture-of-Experts Architecture

LG AI Research has unveiled Cluster-Aware Upcycling technology that reduces expert redundancy and maximizes specialization when converting a Dense model into an MoE.

·2026.07.16 09:00

LG AI Research Develops 'RAPID', an Industrial Automation Prototyping Platform

LG AI Research unveiled RAPID, a robot fleet control simulation platform developed for rapid on-site validation and research standardization.

·2026.02.13 09:00

LG AI Research 574

LG AI Research has released 'EXAONE Path 2.0', a next-generation cancer diagnostic AI model that predicts gene mutations from tissue images, as open source.

·2025.07.09 09:00

EXAONE Deep Unveiled — Setting a New Standard for Reasoning AI

LG AI Research has unveiled EXAONE Deep, a reasoning-specialized model with dramatically improved math, science, and coding capabilities.

·2025.03.18 09:00