Abstract: Mobile crowdsensing (MCS) is a data sensing paradigm that recruits mobile users with smart devices to collect data. However, the collected spatio-temporal sensing data in real-world ...

Abstract: In Sparse Mobile Crowdsensing, many data inference schemes have been proposed without considering the sensing dataset with different trust levels which ...

The proposed Naperville data center raises serious unanswered questions regarding fiscal responsibility, transparency and risk to taxpayers. Residents have repeatedly asked whether the project has a ...

The convergence of crypto and artificial intelligence (AI) is powering a number of real-world use cases. One of the most recent examples of this is the rise of decentralized networks to train AI ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The Google Cloud Professional Data Engineer exam validates your ability to design, build, and ...

Roivant Sciences is breaking out of a multi-year range after positive Phase 3 data for brepocitinib in dermatomyositis. Brepocitinib's strong efficacy, oral dosing, and favorable safety profile ...

Reports reveal that OpenAI uses Google Search data to answer some of users' questions. The topics that use Google Search data mostly surround news, sports, and financial markets. OpenAI retrieves the ...

Hi, thanks for sharing this great project. I am trying to run DM-VTON for inference, but I cannot find the pretrained checkpoint files (e.g., dmvton_pf_warp.pt ...