Science Daily

Intelligence emerges when the whole brain works as one

For decades, scientists have mapped attention, memory, language, and reasoning to separate brain networks — yet one big ...
Edutopia

Applying a UDL Framework to the Coaching Cycle

As educators, we often center our attention on students as learners—designing instruction to honor their varying identities, curiosities, strengths, and opportunities for growth. Yet, we rarely pause ...

Luxorae Implements Trauma-Informed ‘Liberation-Centered Learning’ Framework in Buffalo’s Historic Districts

BUFFALO, NY, UNITED STATES, February 27, 2026 /EINPresswire.com/ — In several historic neighborhoods across Buffalo, New York, including Hamlin Park and the Masten District, the education and social ...

HES FinTech Launches HES Collection Agent, an AI-Driven Platform for Debtor Scoring and Full-Lifecycle Collection Automation

HES FinTech launched HES Collection Agent, an AI-driven platform designed for banks, digital lenders, BNPL providers, fintech institutions, and collection agencies seeking to modernize debt recovery ...
Devdiscourse

AI failures start with bad data

The study An actionable framework for AI-ready data, published in AI Magazine, presents a practical roadmap for strengthening the foundations of artificial intelligence. It details how organizations ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Scientific Research Publishing

An Empirical Study Based on Big Data Analysis to Analyze Social Media Group Sentiment and Its Impact on Consumer Psychology ()

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
Frontiers

The curative-to-preventive perspective shift of medical students through community dementia programs: a qualitative study based on transformative learning theory

Preventive healthcare has become a global health priority, yet a significant implementation gap persists in community settings. Traditional medical education predominantly emphasizes curative ...
IEEE

Federated Learning-based Distributed Data Completion in Sparse Mobile CrowdSensing

Abstract: Sparse Mobile CrowdSensing (SMCS) is an emerging distributed data collection framework. As one of the core methods,data completion uses the collected data to fill in the missing data.
CEO

From smarter to intelligent monitoring: Harnessing AI and machine learning for CSO and SSO prediction

Utilities are moving from manual inspections to real-time, IoT-enabled monitoring systems that provide early warning signs of potential overflows. Advanced analytics and machine learning enable ...