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 released 3 EXAONE 3.5 open-source models that maximize performance and efficiency.
LG AI Research has released 3 EXAONE 3.5 models as open source, capturing both performance and cost-efficiency.
LG AI Research is researching AI-based auto-routing technology to streamline complex PCB design processes.
LG AI Research developed a PCB automatic routing technology that combines Grid-based and Continuous Space methods to solve complex constraint conditions.
It analyzes deceptive patterns that can occur during the UI/UX design process of AI services and proposes ethical design approaches.
LG AI Research proposed a new benchmark that goes beyond the limitations of existing Gaussian-data-centric approaches to verify mutual information (MI) estimation performance on unstructured data.
LG AI Research proposed a new benchmark that can rigorously verify mutual information (MI) estimation performance in unstructured data settings.
LG AI Research has proposed a new technique that uses B-spline to dynamically normalize tabular data according to its complex distributions.
LG AI Research proposed a Tabular data normalization technique using B-splines that dynamically transforms according to data characteristics.
LG AI Research has developed AGATa technology that improves training performance while preserving the structure of tabular data.
LG AI Research unveiled AGATa, a new augmentation technique that maximizes training performance while preserving the structural characteristics of tabular data.
LG AI Research proposed AIR, a multimodal time series forecasting technology that reflects the characteristics of time series data and text data.
LG AI Research has proposed 'AIR,' a multimodal time series forecasting technique that uses text information to control the behavior of time series models.
LG AI Research unveiled 'NEXUS,' an Agent AI system that tracks the lifecycle of complex datasets and analyzes legal risks.
LG AI Research has unveiled 'NEXUS,' an Agent AI system that automatically analyzes and tracks the legal risks of datasets.
LG AI Research dramatically shortened new material development timelines using a molecular pre-training model that leverages 3D structures.
LG AI Research shortened the development period for cosmetic efficacy materials from 2 years to a single day using knowledge distillation technology that leverages 3D molecular information.
LG AI Research has unveiled 'EXAONE Deep,' an AI model with overwhelming reasoning performance in math, science, and coding.
LG AI Research presented RaTab, a technology that improves the self-supervised learning efficiency of tabular data, at AAAI-25.
LG AI Research presented RaTab, a technique that maximizes learning effectiveness while preserving core information in tabular data, at AAAI-25.
LG AI Research presented the VarDrop algorithm at AAAI-25, which reduces variate redundancy in time-series data to improve training efficiency.
LG AI Research proposed the VarDrop algorithm, which maximizes the training efficiency of time series forecasting models by reducing redundancy among variates.
LG AI Research has unveiled ImagePiece, a technique that applies NLP's subword tokenization approach to improve the efficiency of Vision Transformers (ViT).
LG AI Research has proposed ImagePiece, a technique that improves the computational efficiency of vision models by drawing inspiration from NLP's tokenization methods.