AUTONOMOUS INTELLIGENCE: PUSHING THE BOUNDARIES OF MACHINE COGNITION

Abstract

The speedy advancement of independent intelligence is redefining the bounds of device cognition, driven via modern technology together with synthetic intelligence (AI), device gaining knowledge of (ML), and neuromorphic computing. This paper explores the evolution of AI towards self sustaining intelligence, examining its capacity to replicate complex human cognitive abilities. Key demanding situations consisting of reasoning, selection-making under uncertainty, and adaptive getting to know are analyzed, emphasizing the constraints in accomplishing real human-level intelligence. The integration of AI with Internet of Things (IoT), area intelligence, and blockchain enhances protection, scalability, and actual-time choice-making in sensible structures. Furthermore, the have a look at notably assesses the ethical issues surrounding AI, which includes mass unemployment, bias in algorithms, and the existential risks associated with out of manipulate AI development. Addressing Moravec’s Paradox, this paper highlights the fundamental versions amongst human and system cognition, advocating for accountable AI governance. By bridging the space between synthetic and human intelligence, this studies paves the manner for improvements in self sustaining intelligence, ensuring a synergistic coexistence between AI and human society.