Kaan Demirel

Kaan Demirel

Kaan Demirel is a 28-year-old gaming enthusiast residing in Ankara. After graduating from the Statistics department of METU, he completed his master's degree in computer science. Kaan has a particular interest in strategy and simulation games and spends his free time playing competitive games and continuously learning new things about technology and game development. He is also interested in electric vehicles and cyber security. He works as a content editor at NewsLinker, where he leverages his passion for technology and gaming.
1886 Articles

Tesla Surpasses 1 Billion Miles on Full Self-Driving Technology

Tesla's FSD hits over 1 billion miles. Massive data sets propel FSD…

Kaan Demirel Kaan Demirel

Why Choose LLM-ABR for Networking?

LLM-ABR creates adaptable ABR algorithms. It outshines standard ABR algorithms. Future of…

Kaan Demirel Kaan Demirel

Why Does Architecture Optimization Matter?

Architecture optimization refines machine learning. MAD tests key architectural features rapidly. Hybrid…

Kaan Demirel Kaan Demirel

How Does HyperCLOVA X Enhance AI for Korean?

HyperCLOVA X excels in Korean language AI. Integrates advanced architectural features. Sets…

Kaan Demirel Kaan Demirel

Why Category Theory in Neural Networks?

Category theory offers a unified neural network architecture. It extends beyond traditional…

Kaan Demirel Kaan Demirel

Why Revive 3DS-Style Themes on Nintendo Switch 2?

3DS-style themes could increase Nintendo Switch 2's user engagement. Custom themes allow…

Kaan Demirel Kaan Demirel

How Do Astronomers Determine Star Ages?

Astronomers struggle to determine star ages. Roman will use AI to interpret…

Kaan Demirel Kaan Demirel

What Creates a Glory on Distant Exoplanets?

Astronomers might have spotted an exoplanet glory. WASP-76b's extreme conditions contrast with…

Kaan Demirel Kaan Demirel

What Makes Qwen1.5-32B Stand Out?

Qwen1.5-32B sets new AI efficiency benchmarks. Offers extensive multilingual support for global…

Kaan Demirel Kaan Demirel

Why Redefine Computational Efficiency?

Dynamic resource allocation enhances AI efficiency. MoD method reduces computational demands significantly.…

Kaan Demirel Kaan Demirel