Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

EdTech apps helped Nigerian students prepare for JAMB UTME with AI tutors, offline access, past questions, and gamified learning for exam success.

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

“TExpL was built to address real classroom challenges,” said Schade. “The data shows that when educators shift to solutions-driven, student-led learning, they gain agency, see progress and choose to ...

Abstract: We present a novel setting of active learning (AL) where multiple target models are simultaneously learned. This setting arises in real-world applications where machine learning systems ...

Most teachers (myself included) don’t want to rely on lectures and worksheets to do our jobs. The problem is that it’s time-intensive and difficult to plan for lots and lots of active learning, which ...

Francis Duah does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

This research presents a comprehensive framework for constructing and applying student portraits in personalized education through advanced data analytics and knowledge graph technology. The study ...

Introduction: The study addresses adversarial threats in Autonomous Vehicle Platooning (AVP) using machine learning. Methods: A novel method integrating active learning with RF, GB, XGB, KNN, LR, and ...

What are the phases for Global Learning participation? The Global Learning application process is a two-step process, and participation is contingent upon approval by Santa Clara University. Phase 1: ...