LG AI Research Unveils ‘Exaone Discovery’ AI, Identifies Hair Loss Material in 1 Day from 420K Candidates, Plans 24-Hour Autonomous Lab

September 20, 2026

LG AI Research South Korea

Overview

LG AI Research introduced its “Expert AI” solutions, including “Exaone Discovery” for material property prediction and design, at the LG AI Talk Concert 2026. This AI, in collaboration with LG H&H, identified the hair loss-improving material “Ramsidil” in just one day from over 420,000 candidates. LG AI Research also announced plans for a “24-hour autonomous laboratory” where AI predicts material synthesis, robots conduct experiments, and results are fed back for continuous learning.

In Depth

Key Findings

LG AI Research presented its “Expert AI” solutions, prominently featuring “Exaone Discovery” for predicting material properties and designing novel materials, at the “LG AI Talk Concert 2026.” This advanced AI technology demonstrated remarkable efficacy in collaboration with LG H&H, identifying “Ramsidil,” a hair loss-improving material, within a single day from a vast pool of over 420,000 candidate substances. Furthermore, LG AI Research unveiled its ambitious plan to establish a “24-hour autonomous laboratory,” envisioning a future where AI predicts material synthesis, robots execute experiments, and results are continuously fed back for self-improvement, aiming for fully automated material development processes.

Technical / Clinical Details

Exaone Discovery’s Capabilities: “Exaone Discovery” is powered by deep learning and large language models (LLMs), trained on an extensive dataset of physicochemical property data, molecular structures, and materials science literature. This enables rapid exploration and prediction of material candidates with specific functionalities and the design of novel compositions previously unattainable with traditional methods.
Discovery of “Ramsidil”: In the collaboration with LG H&H, the AI was tasked with searching for substances that could contribute to hair loss improvement. The AI analyzed a library of over 420,000 organic compounds, completing in just one day a task that would take human researchers months to years. This efficient discovery process led to the identification of “Ramsidil,” a novel and highly effective hair growth-promoting material, showcasing a significant speed advantage over conventional screening methods.
Concept of the 24-Hour Autonomous Laboratory: In this envisioned laboratory, AI will formulate experimental plans and predict chemical reactions. Robotic arms and automated experimental setups will then execute synthesis and evaluation experiments based on AI instructions. The data generated will be instantly fed back to the AI, enhancing model accuracy and informing subsequent experimental designs. This allows for rapid material development cycles without human intervention, dramatically increasing research efficiency.

Background & Context

Material development, a cornerstone of modern industry, has traditionally been a time-consuming, costly, and trial-and-error-intensive process. The search for novel functional materials, in particular, requires sifting through an immense number of candidates to find the optimal one, often heavily relying on the knowledge and experience of seasoned scientists. This AI and robotics integrated approach aims to eliminate these conventional bottlenecks, potentially transforming the material development paradigm entirely. This acceleration promises to drive product innovation across diverse sectors, including pharmaceuticals, electronic materials, and cosmetics.

Strategic Significance & Outlook

LG AI Research’s “Expert AI” solutions and the concept of a “24-hour autonomous laboratory” are poised to lead the “Fourth Industrial Revolution” in materials science. This technology will significantly reduce material development timelines and drastically accelerate time-to-market. It is also expected to uncover previously unknown materials and enable the discovery of higher-performing, more sustainable substances. LG plans to apply this technology not only within its group’s various businesses but also to offer services to external companies in the future, anticipating a major impact on the entire material development ecosystem. This will substantially boost the efficiency and creativity of scientific research, contributing to overall technological progress globally.

Source: https://www.chosun.com/english/industry-en/2026/09/14/NCBCFX6UJVHEBPRX3NE74CYV2M/

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