What exactly is artificial intelligence (AI)?
How Does Artificial Intelligence (AI) Work?
Building an AI system is a meticulous process that involves reverse-engineering human traits and capabilities in a machine. Then using its computational prowess to outperform what we are capable of doing.
To comprehend How Artificial Intelligence (AI) Works, one must first delve into the various sub-domains of Artificial Intelligence (AI). And understand how to apply those domains to multiple industry fields. You can also enroll in artificial intelligence (AI) course to gain a thorough understanding.
Types of Artificial Intelligence (AI)?
Artificial Narrow Intelligence (ANI)
Artificial General Intelligence (AGI)
AGI is still a theoretical idea. Artificial intelligence (AI) has a human level of cognitive function across several domains, including processing language, images, computations, and reasoning.
We’re still a long way away from building an AGI system. A system of AGI would require tens of thousands of Artificial Narrow Intelligence systems working together in tandem, communicating with each other to mimic how humans think. Fujitsu’s K or IBM’s Watson, with their most advanced computing systems and infrastructure, took 40 minutes to simulate a single second of neuronal activity. We could not build an AGI using our current resources because of the immense complexity and interconnectedness of the human brain.
Artificial Super Intelligence (ASI)
ASI is considered the logical next step after AGI in almost a science-fiction territory. Artificial Super Intelligence (ASI) believes it can surpass human intelligence. Making better art and building emotional relationships are also included in this process.
We may not have even dreamed of the possibilities when we first conceptualized Artificial General Intelligence (AGI). While the difference between AGI and ASI would be pretty narrow (a few say as little as a nanosecond, it’s just how fast Artificial Intelligence would learn). But there is a long path ahead of us towards AGI, which makes this appear to be an idea that lies far into the years ahead.