What is AI
We define AI as anything that makes machines act more intelligently, we like to think of AI as augmented intelligence. We believe that AI should not attempt to replace human experts, but rather extend human capabilities and accomplish tasks that neither humans nor machines could do on their own.
The internet has given us access to more information, faster. Distributed computing and IoT have led to massive amounts of data, and social networking has encouraged most of that data to be unstructured. With Augmented Intelligence, we are putting information that subject matter experts need at their fingertips and backing it with evidence so they can make informed decisions. We want experts to scale their capabilities and let the machines do the time-consuming work.
How do we define intelligence?
Human beings have innate intelligence, defined as the intelligence that governs every activity in our body. This intelligence is what causes an oak tree to grow out of a little seed, and an elephant to form from a single-celled organism.
How does AI learn?
The only innate intelligence machines have is what we give them. We provide machines the ability to examine examples and create machine learning models based on the inputs and desired outputs. And we do this in different ways such as Supervised Learning, Unsupervised Learning, and Reinforcement Learning, about which you will learn in more detail in subsequent lessons. Based on strength, breadth, and application, AI can be described in different ways.
Weak or Narrow AI is AI that is applied to a specific domain. For example, language translators, virtual assistants, self-driving cars, AI-powered web searches, recommendation engines, and intelligent spam filters. Applied AI can perform specific tasks, but not learn new ones, making decisions based on programmed algorithms, and training data.
Strong AI or Generalized AI is AI that can interact and operate a wide variety of independent and unrelated tasks. It can learn new tasks to solve new problems, and it does this by teaching itself new strategies.
Generalized Intelligence is the combination of many AI strategies that learn from experience and can perform at a human level of intelligence.
Super AI or Conscious AI is AI with human-level consciousness, which would require it to be self-aware. Because we are not yet able to adequately define what consciousness is, it is unlikely that we will be able to create a conscious AI in the near future.
AI is the fusion of many fields of study. Computer science and electrical engineering determine how AI is implemented in software and hardware. Mathematics and statistics determine viable models and measure performance. Because AI is modeled on how we believe the brain works, psychology and linguistics play an essential role in understanding how AI might work. And philosophy provides guidance on intelligence and ethical considerations.
While the science fiction version of AI may be a distant possibility, we already see more and more AI involved in the decisions we make every day. Over the years, AI has proven to be useful in different domains, impacting the lives of people and our society in meaningful ways.
While the science fiction version of AI may be a distant possibility, we already see more and more AI involved in the decisions we make every day. Over the years, AI has proven to be useful in different domains, impacting the lives of people and our society in meaningful ways.
There's a lot of talk about artificial intelligence these days. How do you define or what does AI mean for you?
There is a lot of talk and there's a lot of definitions for what artificial intelligence says. So, one of them is about teaching the machines to learn, and act, and think as humans would. Another dimension is really about how do we get the machines to- how do we impart more of a cognitive capability on the machines and sensory capabilities. So, it's about analyzing images and videos about natural language processing and understanding speech. It's about pattern recognition, and so on, and so forth. So the third axis is more around creating a technology that's able to, in some cases, replace what humans do. I'd like to think of this as augment what humans do. To me personally, the most important part of definition for artificial intelligence is about imparting the ability to think and learn on the machines. To me that's what defines artificial intelligence. AI is the application of computing to solve problems in an intelligent way using algorithms. So, what is an intelligent way?
Well, an intelligent way may be something that mimics human intelligence. Or it may be a purely computational approach and optimization approach but something that manipulates data in a way to get not obvious results out, I think, is what I would classify as being artificially intelligent. I would define AI as a tool that uses computer to complete a task automatically with very little to no human intervention.
For some AI is really a complex series of layers of algorithms that do something with the information that's coming into it. Artificial intelligence is a set of technologies that allows us to extract knowledge from data. So, it's any kind of system that learns or understands patterns within that data, and can identify them, and then reproduce them on new information. Artificial intelligence is not the kind of simulating human intelligence that people think it is. It's really not about intelligence at all. But in another word that describes AI more accurately today is machine learning. The reason we say that is because machine learning technology is all about using essentially mathematics on computers in order to find patterns in data. Now this data can be structured or unstructured. The only difference between machine learning and the technologies that came before it is instead of us, as humans, having to manually hard code these patterns, and these conditions into computers. They're able to find these patterns on their own by using math. That's really the only difference here. So, what I'd say artificial intelligence is, is it's a set of mathematical algorithms that enable us to have computers find, very deep and patterns that we may not have even known exist, without us having to hard code them manually.
Avinash C. Pillai
Technology Director
syniverse®
The world’s most connected company™
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