ADVANCEMENTS IN MACHINE INTELLIGENCE: A COMPREHENSIVE REVIEW OF EMERGING ALGORITHMS AND TECHNIQUES

Abstract

Machine intelligence has passed through awesome improvements in current years, pushed with the aid of the development of revolutionary algorithms and computational strategies. This complete overview explores rising traits and breakthroughs across diverse fields, which includes deep mastering, reinforcement learning, generative models, and neuromorphic computing. Key improvements such as transformer architectures, self-supervised gaining knowledge of, and explainable AI are examined in detail. Furthermore, the paper highlights the role of hybrid procedures, such as combining symbolic AI with system mastering, and the combination of quantum computing into system intelligence frameworks. Practical programs in natural language processing, laptop vision, robotics, and healthcare also are discussed, showcasing the transformative impact of those technologies. The overview concludes by identifying challenges and outlining future directions for sustainable and ethical improvement in the subject of device intelligence.