Introduction
Artificial intelligence is moving beyond fast computation toward systems that can understand, reason, and adapt. As AI grows more comple
Neuro-Symbolic AI: Sustainable Intelligence for the Future of Cognitive Systems
Posted on by Fachrur Rozi
Introduction
As artificial intelligence systems grow larger and more energy-intensive, concerns about sustainability, transparency, and efficiency ar
Symbolic Reasoning: Reviving Logical Intelligence in Modern AI
Posted on by Fachrur Rozi
Introduction
Recent advances in artificial intelligence have been dominated by data-driven and deep learning approaches. While these methods excel in
Knowledge Representation: Structuring Intelligence for Cognitive Artificial Systems
Posted on by Fachrur Rozi
Introduction
For artificial intelligence to reason, learn, and make decisions, it must first understand how knowledge is structured. Raw data alone i
Machine Reasoning: Enabling Logical Thinking in Artificial Intelligence
Posted on by Fachrur Rozi
Introduction
While modern artificial intelligence has achieved remarkable success in perception and pattern recognition, it still struggles with logi
Cognitive Computing Systems: Machines That Think, Learn, and Reason
Posted on by Fachrur Rozi
Introduction
As artificial intelligence continues to evolve, the demand for systems that can do more than execute predefined tasks has become increas
Anchor-Free Detection and Attention Mechanisms in YOLO
Posted on by Fachrur Rozi
Recent advancements in YOLO (You Only Look Once) object detection have focused on improving robustness, accuracy, and adaptability through the adoptio
End-to-End Detection Pipeline in YOLO
Posted on by Fachrur Rozi
The end-to-end detection pipeline is a defining characteristic of YOLO (You Only Look Once) that distinguishes it from traditional object detection fr
Edge Deployment of YOLO for Real-Time Object Detection
Posted on by Fachrur Rozi
Edge deployment refers to the execution of machine learning models directly on edge devices, such as embedded systems, mobile devices, drones, and Int
Handling Class Imbalance in YOLO Object Detection
Posted on by Fachrur Rozi
Class imbalance is a common challenge in object detection tasks, where certain object categories appear far more frequently than others in training da
