
Written By Deepti Ratnam
Written By Deepti Ratnam
Edited By: Deepti Ratnam| Published By: Deepti Ratnam| Published: Aug 12, 2024, 01:00 PM (IST)
Reactive machines are the most basic form of AI. They operate purely based on current inputs and cannot form memories or use past experiences to influence future decisions. A classic example is IBM's Deep Blue, the chess-playing computer that famously defeated Garry Kasparov in 1997. Reactive machines excel at performing specific tasks but lack flexibility and the ability to learn from past interactions.
This type of AI can retain data from past experiences and use it to make better decisions. Most modern AI systems, like self-driving cars, fall into this category. They observe the environment, identify objects, and make real-time decisions based on their learning. Limited memory AI is more advanced than reactive machines and is essential for applications requiring adaptation over time.
Though still largely theoretical, the Theory of Mind AI holds the promise of understanding human emotions, beliefs, intentions, and thoughts. This type of AI, if realized, would revolutionize human-machine interactions. Ongoing research in areas like emotional AI and advanced robotics is expected to bring us closer to this level of AI.
Self-aware AI represents the pinnacle of AI development, a stage where machines possess a sense of consciousness, self-awareness, and emotions. This type of AI is still in science fiction, but it represents the ultimate goal for many AI researchers. Several Hollywood movies have covered the Self-aware AI concept, including The Terminator, Ex Machina, and The Matrix.
Narrow AI refers to AI systems designed to perform a single or narrow range of tasks. Examples include voice assistants like Siri and Alexa, recommendation algorithms on streaming services, and facial recognition systems. While highly influential, narrow AI lacks general intelligence and cannot perform tasks outside its specific programming.
General AI is an advanced form of AI that can understand, learn, and apply intelligence across a broad range of tasks, similar to human cognition. General AI remains a theoretical concept, as current AI systems have yet to achieve this versatility. Achieving General AI would mark a significant leap forward, potentially transforming every aspect of society.
Artificial Superintelligence (ASI) refers to an AI that surpasses human intelligence in all fields, including creativity, problem-solving, and social intelligence. Although ASI is purely speculative at this stage, its implications could be profound, raising ethical, philosophical, and existential questions about humanity's future.