Machine learning is part of the Weak/Narrow AI paradigm as it is the study of algorithms and techniques designed to solve a specific problem. However, they work under a far more constrained and limited environment than even the most basic human intelligence. There is no mistaking that these are certainly intelligent machines that can store and process information much more efficiently than humans. These machines can dial in to focus and perform well on a single task. Weak AI (or Narrow AI) is part of AI that operates within a limited scope and can work with a specific task.
SIGHTHOUND VS SECURITYSPY TV
As of today, Strong AI machines are only limited to sci-fi movies and tv shows like the WestWorld or Star Trek: The Next Generation. Strong AI (or Artificial General Intelligence (AGI)) depicts a machine with general intelligence which can act almost similarly to humans.
SIGHTHOUND VS SECURITYSPY HOW TO
It is for this reason that this is a vast area of research that encapsulates all sorts of learning and reactions that can be expected from humans and how to teach that to machinesīefore we move on to the next section, I will leave you all with a clip from the movie “Imitation Game” where Alan Turing answers the question: Can machines think?Īrtificial Intelligence can generally be divided into two categories: Artificial Intelligence” provides a good depiction of what the end goal (or close to it) looks like. Even though I am not a fan of the movie, Steven Spielberg’s “A.I. An important thing to understand here (a point that often is not considered) is that this encompasses taking information from all available sensory inputs that humans have at their disposal (seeing, hearing, smelling, tasting and touching) for the decision making process. Since the word intelligence is an adjective used to describe a human attribute, the term “artificial intelligence” was coined that relates to the ability for a machine to replicate how the human brain functions.Īrtificial Intelligence can thus be thought of as a system to help mimic human intelligence by using algorithms techniques, rules and/or methods to learn, reason and react to different situations and scenarios like a human would do. And in order to achieve this goal, one need not look further than designing constructs that help mimic how the human brain functions. Looking at it from the perspective of science and technology, it is clear that the ultimate goal is to build systems that can think, act and behave like humans do. It is fair to say that the human brain is still an enigma to us and we have a long way to go in comprehending all the different bits and pieces involved in shaping what goes inside this organ.
What is even more astonishing is how the EXACT same information is construed by different people under different circumstances. It has the ability to learn over time and process information in a multitude of ways. The human mind is a mysterious and fascinating thing. Tesler’s Theorem: AI is whatever hasn’t been done yet.
Are they the same? If not, how are they different? Please give me your thoughts and comments below and share it with your audience if you find it useful. One of the questions (an important one mind you) that I get asked a lot is the difference between Artificial Intelligence, Machine Learning and now Deep Learning. Zain Masood, Chief Research Officer, Sighthound
0 kommentar(er)
