Sami
Author

Sami

Founder and Editor-in-Chief of CoreITen, specializing in AI and emerging technologies. Dedicated to making complex technical concepts accessible to a global audience.

872 Articles

About the Author

Sami is the Founder and Editor-in-Chief of CoreITen. Drawing on extensive experience in the tech sector, Sami provides in-depth coverage of artificial intelligence, software development, gaming, and emerging technologies. Through Coreiten, Sami successfully bridges the gap between intricate technical concepts and everyday understanding, delivering high-impact, accessible insights in both Arabic and English.

Articles by Sami

872 articles
Adventurous Slime Launches on Nintendo Switch This March for $6

Adventurous Slime Launches on Nintendo Switch This March for $6

Indie developers Ratalaika Games and lightUP have officially announced that Adventurous Slime will launch on the Nintendo Switch on March 13, 2026. Priced at an accessible $6, this retro-inspired platformer tasks players with saving a magical kingdom from a newly freed menace....

Lou’s Lagoon Expands to Xbox Series with Play Anywhere, Launches 2026

Lou’s Lagoon Expands to Xbox Series with Play Anywhere, Launches 2026

Cozy adventure Lou’s Lagoon now heads to Xbox Series X|S and PS5 alongside Switch and PC in 2026, with Xbox Play Anywhere support for seamless cross-progression. Tiny Roar and publishers Megabit and rokaplay aim to bring their seaplane exploration game to every major platform at launch....

Space-Time-Coding Metasurfaces Unlock High-Dimensional OAM Multiplexing

Space-Time-Coding Metasurfaces Unlock High-Dimensional OAM Multiplexing

Space-time-coding metasurfaces are revolutionizing wireless communications by enabling high-dimensional multiplexing through a single, compact aperture. A newly published study introduces a dual-polarized asynchronous metasurface that manipulates orbital angular momentum to drastically increase data channels....

New AI-Driven Hybrid Prediction System Enhances Wind Energy Forecasting

New AI-Driven Hybrid Prediction System Enhances Wind Energy Forecasting

Researchers have developed a novel hybrid prediction system, ICEEMDAN-NCRBMO-AELM, to significantly improve the reliability of multi-seasonal wind power forecasting. This advancement addresses critical grid stability challenges caused by meteorological volatility....