Nikhil Kumar is a Content Writer at various esteemed publications. He covers a diverse range of topics including arts and entertainment, healthcare systems, and the intersection of AI and machine learning, with a particular focus on current events like the Russia-Ukraine War and cultural phenomena such as Netflix and film. Nikhil's work has been featured in notable outlets including Grid, The Independent, and Foreign Policy.
Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston
Not enough data
Nikhil Kumar's articles cover a wide range of topics including politics, international relations, technology, entertainment, and war and conflict. With a focus on evolving stories and breaking news related to government & politics as well as entertainment news, Nikhil is likely interested in receiving pitches that offer unique perspectives or insights into ongoing events.
Given his coverage attributes which emphasize evolving stories and breaking news across diverse themes such as politics, international relations, technology, entertainment, war and conflict; he may be more responsive to sources who can provide timely commentary on unfolding events within these areas. This could include experts with first-hand knowledge of political developments or individuals directly involved in the industries covered.
As Nikhil does not have a specific geographic focus mentioned but covers global elections and international relations extensively making him open for contributions from around the world.
This information evolves through artificial intelligence and human feedback. Improve this profile .
By: Nikhil Kumar
Sizzling Samachar of the Day - 5th December 2024
By: Tamal Banerjee, Nikhil Kumar, Uday Mhapsekar
Elucidating the nonbonded interactions between model asphaltene structures and deep eutectic solvents (DESs) holds both theoretical intrigue and experimental significance.
By: Nikhil Kumar
Sizzling Samachar of the Day - 6th December 2024
By: Alexander Lee, Nikhil Kumar
Traditional methods for skin color classification, such as visual assessments and conventional image classification, face limitations in accuracy and consistency under varying conditions. To address this, we developed AI Dermatochroma Analytica (AIDA), an unsupervised learning system designed to enhance dermatological diagnostics. AIDA applies clustering techniques to classify skin tones without relying on labeled data, evaluating over twelve models, including K-means, density-based, hierarchical, and fuzzy logic algorithms. The model's key feature is its ability to mimic the process clinicians traditionally perform by visually matching the skin with the Fitzpatrick Skin Type (FST) palette scale but with enhanced precision and accuracy using Euclidean distance-based clustering techniques. AIDA demonstrated superior performance, achieving a 97% accuracy rate compared to 87% for a supervised convolutional neural network (CNN). The system also segments skin images into clusters based on color similarity, providing detailed spatial mapping aligned with dermatological standards. This segmentation reduces the uncertainty related to lighting conditions and other environmental factors, enhancing precision and consistency in skin color classification. This approach offers significant improvements in personalized dermatological care by reducing reliance on labeled data, improving diagnostic accuracy, and paving the way for future applications in diverse dermatological and cosmetic contexts.
If you’re into tales of women reclaiming their power, this list of unforgettable female revenge stories pack both emotion and adrenaline
Sizzling Samachar of the Day - 11th December 2024
By: Nikhil Kumar
Sizzling Samachar of the Day - 12th December 2024
By: Rigoberto Hernandez, Nikhil Kumar, Thota
A challenge to materials discovery is the identification of the physical features that are most correlated to a given target material property without redundancy.
By: Nikhil Kumar
Sizzling Samachar of the Day - 19th December 2024
By: Nikhil Kumar
Sizzling Samachar of the Day - 24th December 2024
(833) 317-6278 
