Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
IEEE

A-Gamba: An Adaptive Graph-Mamba Model for Traffic Prediction in Wireless Cellular Networks

Abstract: Accurate traffic prediction is essential for optimizing network resource allocation in wireless cellular networks. In this letter, we propose an adaptive graph-Mamba (A-Gamba) model for ...
IEEE

ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction

Abstract: Traffic prediction is a crucial component of data management systems, leveraging historical data to learn spatio-temporal dynamics for forecasting future traffic and enabling efficient ...
GitHub

Training-Free Zero-Shot Temporal Action Detection with Vision-Language Models

Existing zero-shot temporal action detection (ZS-TAD) methods predominantly use fully supervised or unsuper- vised strategies to recognize unseen activities. However, these training-based methods are ...
TechCrunch

Runway releases its first world model, adds native audio to latest video model

The race to release world models is on as AI image and video generation company Runway joins an increasing number of startups and Big Tech companies by launching its first one. Dubbed GWM-1, the model ...