Scientific American

The next AI revolution could start with world models

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
Decrypt

Baidu's ERNIE 5 AI Model Rises Up the Rankings—A Math Wiz That Beats OpenAI's GPT 5.1

Baidu's ERNIE-5.0-0110 ranks #8 globally on LMArena, becoming the only Chinese model in the top 10 while outperforming ...
EurekAlert!

Label attention meets deep learning: a novel model for ICD-11 automatic classification of Chinese EMRs

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
techxplore

No-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...
IEEE

Towards Structure-aware Model for Multi-modal Knowledge Graph Completion

Abstract: Knowledge graphs (KGs) play a key role in promoting various multimedia and AI applications. However, with the explosive growth of multi-modal information, traditional knowledge graph ...
IEEE

Multi-Agent Optimizing Traffic Light Signals Using Deep Reinforcement Learning

Abstract: In recent years, rapid urbanization has led to increased traffic congestion, rendering traditional traffic light control methods ineffective. Deep Reinforcement Learning (DRL) has emerged as ...
GitHub

AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Agriculture Mapping

This repository is the code implementation of the paper AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Agriculture Mapping. AgriFM is a multi-source temporal remote sensing ...