Frontiers

Brain-Computer Interfaces (BCIs) for daily activities: Innovations in EEG signal analysis and machine learning approaches

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...

Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...
Forbes

Hybrid Quantum: Classical Architectures For Machine Learning

Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...
Forbes

Hybrid Learning Five Years Later: Where The Education Sector Is Now

In spring 2020, higher education made an abrupt shift from traditional, in-person teaching to fully remote and hybrid models. At the time, many in academia declared, "We'll never be the same again," ...
News-Medical.Net

MULTI-evolve accelerates protein engineering with machine learning

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
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The Future of Hybrid and Online Learning: What is Next? Are hybrid models here to stay, and how are universities adapting?

Education, Education in India, Hybrid Learning, Online Learning, Online Education: The landscape of hybrid and online learning is evolving rapidly as universities adopt innovative strategies to boost ...