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Top Differences Between Artificial Intelligence, Machine Learning Deep Learning

Artificial Intelligence -Human Intelligence Exhibited by Machines Back in that summer of ’56 conference the dream of those AI pioneers was to construct complex machines -enabled by emerging computers — that possessed the same characteristics of human intelligence.

So rather than hand-coding software routines with a specific set of instructions to accomplish a particular task, the machine is “trained” using large amounts of data and algorithms that give it the ability to learn how to perform the task.

Machine learning came directly from minds of the early AI crowd, and the algorithmic approaches over the years included decision tree learning, inductive logic programming.

As it turned out, one of the very best application areas for machine learning for many years was computer vision, though it still required a great deal of hand-coding to get the job done.

But, unlike a biological brain where any neuron can connect to any other neuron within a certain physical distance, these artificial neural networks have discrete layers, connections, and directions of data propagation.

Attributes of a stop sign image are chopped up and “examined” by the neurons — its octogonal shape, its fire-engine red color, its distinctive letters, its traffic-sign size, and its motion or lack thereof.

In our example the system might be 86% confident the image is a stop sign, 7% confident it’s a speed limit sign, and 5% it’s a kite stuck in a tree ,and so on — and the network architecture then tells the neural network whether it is right or not.

Still, a small heretical research group led by Geoffrey Hinton at the University of Toronto kept at it, finally parallelizing the algorithms for supercomputers to run and proving the concept, but it wasn’t until GPUs were deployed in the effort that the promise was realized.

From face detection to product recommendation, customer segmentation, digit reorganization, machine translation, business intelligence, Internet of Things, network security and so on the use of deep and machine learning as a process has completely transformed the world we are living today.

The Difference Between AI and Machine Learning

Artificial Intelligence Luminary: Reza Zadah, CEO and Founder of MatroidIn this video, Reza Zadah clarifies the difference between artificial intelligence and machine learning, and what role algorithms play in these fields.Read the transcript:The working definition of artificial intelligence now has become maybe 50 different definitions….

It is many different tasks that humans ...are good at but computers are not.For a long time we were trying to replicate our thought process by putting in a lot of different rules into the computer, by programming them… a lot of logical rules that went one by one — and the computer could follow them, and eventually we thought if we had enough of these rules, we could come up with AI.That turned out to be a terrible way forward, in that many of the tasks that we can now solve cannot be solved using that approach of write down a bunch of rules.

So if you have a eight hour video and — and you're interested in finding particular events that happen in this video without having to watch the whole thing, you come to Matroid and you build a detector for it, and then you look for those things that you're interested in, in a few minutes as opposed to eight hours.For these very complicated models, we can't — we can't just have a simple rule that tells us how to take the derivative of these models.

The Difference Between Artificial Intelligence and Machine Learning

Anna Brown asks the experts to explain.LEARN MORE ABOUT ARTIFICIAL INTELLIGENCE DOES AI - CHECK OUT SAS AI SOLUTIONS MORE ABOUT MACHINE LEARNING INTRODUCTION TO MACHINE LEARNINGIn this this webinar, Wayne Thompson of SAS delves into those issues and provides an overview of machine learning, as well as key business applications of this technique, including fraud detection, model factories and recommendation systems. TO THE SAS SOFTWARE YOUTUBE CHANNEL SASSAS is the leader in analytics.

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