Why platforms like Kalshi and Polymarket want so badly to be seen as sources of news, instead of anything-goes casinos. Why platforms like Kalshi and Polymarket want so badly to be seen as sources of ...

Motion prediction is among the most fundamental tasks in autonomous driving. Traditional methods of motion forecasting primarily encode vector information of maps and historical trajectory data of ...

We introduce OneCAT, a unified multimodal model that seamlessly integrates understanding, generation, and editing within a novel, pure decoder-only transformer architecture. Our framework uniquely ...

Abstract: Knowledge Graph Embedding (KGE) is a powerful technique for predicting missing links in knowledge graphs. Current mainstream research primarily focuses on Transformer-based language ...

Sora is widely perceived primarily as a text and video-to-video model. However, the real research goal of OpenAI is a world simulator. But according to Yann LeCun, head of Meta's AI department, Sora ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Deep learning has become a powerful and frequently employed tool for the prediction of ...

Abstract: Trajectory prediction for mobile phone users is a cornerstone component to support many higher-level applications in LBSs (Location-Based Services). Most existing methods are designed based ...

Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, Royal Institute of Technology─KTH, Box 1031, SE-17121 Solna, Sweden ...

Identifying drug–target interaction (DTI) is the basis for drug development. However, the method of using biochemical experiments to discover drug-target interactions has low coverage and high costs.