Tech Xplore

AI system learns to prevent warehouse robot traffic jams, boosting throughput 25%

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a ...
SciELO

Evaluating the effectiveness of translation technology training in Iran: A perception-based mixed methods study

Although evaluating the effectiveness of training courses on translation technology is essential, previous studies have primarily evaluated such courses based on trainee translators’ satisfaction or ...
IEEE

Task Offloading for Edge Metaverse: A Joint BSUM and Reinforcement Learning Approach

Abstract: A metaverse can bring many benefits (i.e., self-sustaining and proactive analytics (e.g., analysis before user requests)) to wireless applications; however, its deployment is very ...
IEEE

Fast and Adaptive Task Management in MEC: A Deep Learning Approach Using Pointer Networks

Abstract: Task offloading and scheduling in Mobile Edge Computing (MEC) are vital for meeting the low-latency demands of modern IoT and dynamic task scheduling scenarios. MEC reduces the processing ...
Edutopia

Making Project-Based Learning More Impactful by Emphasizing Depth Over Speed

In education, there’s sometimes a misperception that innovation must be linked to major changes in classroom instruction. I’ve witnessed schools restructuring their classes to be entirely ...
Scientific Research Publishing

Impact of Artificial Intelligence Combined with Task-Driven Learning Methods on Teaching Effectiveness for Medical Interns: A Study in Respiratory Medicine ()

1 Department of Respiratory and Critical Care Medicine, Changzheng Hospital, The Second Affiliated Hospital of Naval Medical University, Shanghai, China. 2 Department of Respiratory and Critical Care ...
Butler Eagle

BC3 considers AI approach with new task force

Butler County Community College leadership is looking to be ahead of the curve by embracing a future with artificial intelligence. The community college announced it had launched a new task force at ...
C&EN

Optimizing Multi-Task Learning with Evolutionary Relatedness Metrics for Enhanced QSAR-Based Natural Product Activity Prediction

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...