For almost a century, psychology and neuroscience researchers have been trying to understand the processes via which humans and other animals acquire new skills or learn to deal with specific ...

Researchers have developed a new way to recognize human emotions by combining fiber-based physiological signals with thermal images of the face. The portable emotional recognition system could ...

The session Next-Generation Drug Development Enabled by Automation, Digitalization, and AI/ML is scheduled to take place at Pittcon 2026 in San Antonio, TX, on Monday, March 9, from 8:30 am–10:40 am ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Abstract: Multimodal Federated Learning (MFL) has emerged as a collaborative paradigm for training models across decentralized devices, harnessing various data modalities to facilitate effective ...

Across the sample, cognitive load was negatively correlated with learning performance (large effect size), reinforcing its role as a key mediator of digital learning outcomes. Conclusions: Both ...

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...

Digital learning resources are transforming classrooms, and educators are always on the lookout for tools that go beyond the standard platforms. There are numerous lesser-known digital platforms that ...

As virtual reality technology continues to develop, more colleges and universities are integrating it into the student experience inside and outside of the classroom. A recent survey of chief ...

Abstract: Text-based person retrieval aims to identify specific individuals within an image database using textual descriptions. Due to the high cost of annotation and privacy protection, researchers ...