News

Utilities are tiptoeing into AI as climate change and data center growth add stress to the energy grid
Utilities are cautiously embracing AI for predictive maintenance and fieldwork support as data centers and climate change ...
SharksMind4d
Why We’re All Collecting Too Much Data and Information
The human brain can only process a limited amount of data at once. When we exceed that limit, attention and comprehension ...
IEEE6d
Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph- and Attention-Based Approach - IEEE Xplore
Mobile Crowdsensing (MCS) is a sensing paradigm that enables large-scale smart city applications, such as environmental sensing and traffic monitoring. However, traditional MCS often suffers from ...
How to deliver PPC results to executives: Get out of the weeds
Tailoring your delivery to your audience is crucial for any communication. Learn three ways to ensure your next presentation ...
GitHub17d
GraphGPT: Graph Instruction Tuning for Large Language Models
Data Intelligence Lab@University of Hong Kong, Baidu Inc. This repository hosts the code, data and model weight of GraphGPT (SIGIR'24 full paper track). Due to compatibility issues, if you are using ...
IEEE24d
Learning Wireless Data Knowledge Graph for Green Intelligent Communications: Methodology and Experiments - IEEE Xplore
Native artificial intelligence (AI) has played a pivotal role in shaping the evolution of 6G networks. It must meet stringent real-time requirements and therefore deploying lightweight AI models is ...