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.
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.
This post covers the concept and key technical directions of Robot Foundation Models (RFM), robots that perform tasks by directly interacting within physical environments.
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.
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.
A developer used a Claude-powered automated pipeline to process 27 issues over two weeks for $110 a month.
ReactBench v1 comprehensively evaluates coding agents' React-writing ability using the React Doctor validator, which has over 400 rules.
Goodfire unveiled the beta of its Silico platform, which automates AI research experiments.
OpenAI and Work Louder unveiled Codex Micro, a mechanical keyboard for AI agent work, priced at $230.
Vercel has released AI Gateway leaderboard data under a CC BY 4.0 license.
This analysis examines the design principles and efficiency of the Systolic Array, which accounts for over 95% of the performance of modern AI chips.
NVIDIA unveiled the Jetson T3000/T2000, compact high-performance modules for robots and edge AI.
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