AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.

Intelevo is an intelligent learning management system that leverages AI to provide personalized educational experiences. Built as a capstone project, it features advanced document processing, multiple ...

This study provides a useful application of computational modelling to examine how people with chronic pain learn under uncertainty, contributing to efforts to link pain with motivational processes.

Abstract: While control barrier functions (CBFs) are capable of providing safety guarantees, their effectiveness can degrade in the presence of model uncertainty and unexpected faults, particularly ...

Colleges and universities can leapfrog from personalized to N-of-1 precision learning by modernizing their data architecture, building dynamic learner profiles, and adopting computed curriculum. This ...

Adaptive learning platforms are increasingly used to enhance online education, yet a gap exists in understanding how the design of their AI-powered features impacts user experience. This study ...

Traditional classroom instruction follows a one-size-fits-all model where teachers design lessons for the median student, leaving advanced learners unchallenged and struggling students without ...

Abstract: This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, ...

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...