Roshna S H

Dr. Roshna S H is a scientist by profession with more than five years of teaching experience at graduate and postgraduate levels. She has obtained a Ph.D. from IIT Madras after M.Sc., M. Phil in Physics. She has also cleared CSIR-NET and GATE with top ranks. She is a constant content creator through publications in peer-reviewed international journals and by writing concept based blog articles. She has research experiences in diverse areas spans from atmospheric science to optics as well as spintronics and magnetism. She has obtained awards and recognitions at various international platforms for her contributions as scientific articles and oral presentations. Dr. Roshna completed her Ph.D. with exposure at American physical society, Material research society, University of Oxford, etc. She focuses on communicating the concepts with utmost clarity in the simplest possible way.

Quantum Spintronics

Exploring the Frontiers: Quantum Spintronics

Quantum spintronics stands as a beacon of innovation in technology, promising revolutionary advancements in computing and information processing. Departing from traditional electronics, this field harnesses the intrinsic spin of electrons to manipulate information at the quantum level, paving the way for faster, more efficient devices. Let’s embark on a journey through the intricacies of quantum …

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AutoML for Decision Making

AutoML for Data Driven Decision Making

In the domain of data-driven decision-making, AutoML (Automated Machine Learning) emerges as a revolutionary tool. It automates the complex process of applying machine learning to real-world problems, enabling users of all expertise levels to swiftly build high-performing models. By simplifying tasks such as data preprocessing, model selection, and hyperparameter tuning, AutoML streamlines workflows, saving valuable …

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Multimodal AI

The power of Integrated Technology: Multimodal AI

In the ever-evolving landscape of artificial intelligence, there emerges a groundbreaking approach that combines the prowess of multiple modalities such as text, images, speech, and more – to enhance comprehension and interaction. This integration of diverse data sources gives birth to what is known as multimodal AI, revolutionizing how machines perceive and understand the world …

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