An understanding of community resilience and risk analysis is vital when it comes to protecting civilians and infrastructure from natural hazards, such as hurricanes or earthquakes. Artificial ...

Abstract: This paper presents an end-to-end deep learning framework in a movable antenna (MA)-enabled multiuser communication system. In contrast to the conventional works assuming perfect channel ...

Abstract: Deep Learning (DL) frameworks are fundamental components of DL systems in their development, deployment, and execution, while defects in DL frameworks can cause severe consequences. Ensuring ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Could a machine outthink the best human mind in the world? Thirty years ago that was still an open question, but a historic matchup between a chess grandmaster and an IBM supercomputer answered it. On ...

Jan 22 (Reuters) - The Metals Co (TMC.O), opens new tab on Thursday became the first deep-sea miner to seek Washington's approval to mine the international seabed under a streamlined permitting ...

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community ...