Artificial General Intelligence (AGI) represents the ultimate goal of artificial intelligence research, aiming to create machines capable of understanding, learning and applying knowledge across a wide range of tasks, much like the human mind. While narrow AI systems or AI as we know today excel at specific tasks such as image recognition or language translation, AGI seeks to emulate the general cognitive abilities of humans.AGI aspires to replicate human-like intelligence, including perception, reasoning, learning and problem-solving. Unlike specialised AI systems, AGI would possess the capacity for adaptation and self-improvement, allowing it to tackle challenges with creativity and insight.The pursuit of AGI, however, is faced with numerous obstacles, including the complexity of human cognition, the lack of comprehensive understanding of the brain and the ethical implications of creating sentient machines. Additionally, AGI requires advancements in various fields, such as neuroscience, computer science and cognitive psychology.
Artificial General Intelligence (AGI) represents the ultimate goal of artificial intelligence research, aiming to create machines capable of understanding, learning and applying knowledge across a wide range of tasks, much like the human mind. While narrow AI systems or AI as we know today excel at specific tasks such as image recognition or language translation, AGI seeks to emulate the general cognitive abilities of humans.AGI aspires to replicate human-like intelligence, including perception, reasoning, learning and problem-solving. Unlike specialised AI systems, AGI would possess the capacity for adaptation and self-improvement, allowing it to tackle challenges with creativity and insight.The pursuit of AGI, however, is faced with numerous obstacles, including the complexity of human cognition, the lack of comprehensive understanding of the brain and the ethical implications of creating sentient machines. Additionally, AGI requires advancements in various fields, such as neuroscience, computer science and cognitive psychology.