![]() ![]() In the meantime, the best examples of ASI might be from science fiction, such as HAL, the superhuman and rogue computer assistant in 2001: A Space Odyssey. While strong AI is still entirely theoretical with no practical examples in use today, that doesn't mean AI researchers aren't also exploring its development. ASI-also known as superintelligence-would surpass the intelligence and ability of the human brain. AGI, or general AI, is a theoretical form of AI where a machine would have an intelligence equal to humans it would be self-aware with a consciousness that would have the ability to solve problems, learn, and plan for the future. Strong AI is made up of artificial general intelligence (AGI) and artificial super intelligence (ASI). "Narrow" might be a more apt descriptor for this type of AI as it is anything but weak: it enables some very robust applications, such as Apple's Siri, Amazon's Alexa, IBM watsonx™, and self-driving vehicles. ![]() ![]() Weak AI drives most of the AI that surrounds us today. Weak AI-also known as narrow AI or artificial narrow intelligence (ANI)-is AI trained and focused to perform specific tasks. But as the hype around the use of AI tools in business takes off, conversations around ai ethics and responsible ai become critically important. For more on where IBM stands on these issues, please read Building trust in AI. Today, generative AI can learn and synthesize not just human language but other data types including images, video, software code, and even molecular structures.Īpplications for AI are growing every day. These disciplines involve the development of AI algorithms, modeled after the decision-making processes of the human brain, that can ‘learn’ from available data and make increasingly more accurate classifications or predictions over time.Īrtificial intelligence has gone through many cycles of hype, but even to skeptics, the release of ChatGPT seems to mark a turning point. The last time generative AI loomed this large, the breakthroughs were in computer vision, but now the leap forward is in natural language processing (NLP). On its own or combined with other technologies (e.g., sensors, geolocation, robotics) AI can perform tasks that would otherwise require human intelligence or intervention. Digital assistants, GPS guidance, autonomous vehicles, and generative AI tools (like Open AI's Chat GPT) are just a few examples of AI in the daily news and our daily lives.Īs a field of computer science, artificial intelligence encompasses (and is often mentioned together with) machine learning and deep learning. ![]()
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