What does artificial intelligence mean for education? Will A.I. replace teachers? What’s a student’s educational journey look like with more A.I. in the classroom?
Ryan M. Cameron is a higher education administrator and artificial intelligence scholar. Give this episode a listen to learn about the A.I. developments happening right now in classrooms across the world. And get a glimpse into the future of the A.I./teacher/student relationship.
Plus, Ryan and I discuss what artificial intelligence really is, should we be afraid of A.I., and what happens if an A.I. goes around our kill switches!
Don’t forget to take the quiz at 04:10!
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This video on Artificial Intelligence introduces you to Artificial intelligence with a fun and simple approach. We will talk about what is artificial intelligence, how it’s different from machine learning and deep learning, its features, types, and scope. We also look at some interesting applications of Artificial Intelligence.
By the end of this video, you will understand:
1. What is Artificial Intelligence?
2. Difference between Artificial intelligence, Machine Learning and Deep Learning
3. Examples of Artificial Intelligence
4. Future of Artificial Intelligence
About Simplilearn Artificial Intelligence course:
Simplilearns’ Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.
What are the career benefits of this Introduction to AI course?
Artificial intelligence has become a powerful driving force in a wide range of industries, helping people and businesses create exciting, innovative products and services, enable more informed business decisions, and achieve key performance goals. The median salary of an AI engineer in the US is $171,715(Source: Datamation). By 2022, the AI market will grow at a CAGR of 53.25 per cent, and an estimated. 2.3 million jobs will be created in the AI field by 2020 (Source: Gartner).
What are the course objectives?
The Introduction to Artificial Intelligence course will give you a look at the booming field of AI and show you how AI can help drive business value. The course covers basic concepts, terminologies, scope and stages of artificial intelligence and their effect on real-world business processes. By the end of the course, you will be able to clearly define various supervised and unsupervised AI algorithms, apply machine learning workflow to solve business problems and measure ROI based on performance metrics.
What skills will you learn from this Introduction to Artificial Intelligence course?
Upon completion of this course, you will understand:
1. The meaning, purpose, scope, stages, applications and effects of AI
2. Fundamental concepts of machine learning and deep learning
3. The difference between supervised, semi-supervised and unsupervised learning
Who should take this Introduction to Artificial Intelligence course?
Simplilearn’s Introduction to Artificial Intelligence imparts the basic concepts and principles of Artificial Intelligence to learners. The course caters to CxO level and middle management professionals who want to improve their ability to derive business value and ROI from AI and machine learning. This Artificial Intelligence Introduction course does not require programming or IT background, making it well-suited for the following audience:
1. Developers aspiring to be an artificial intelligence engineer or machine learning engineer
2. Analytics managers who are leading a team of analysts
3. Information architects who want to gain expertise in AI algorithms
4. Analytics professionals who want to work in machine learning or artificial intelligence
5. Graduates looking to build a career in artificial intelligence or machine learning
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What is AI? What is machine learning and how does it work? You’ve probably heard the buzz. The age of artificial intelligence has arrived. But that doesn’t mean it’s easy to wrap your mind around. For the full story on the rise of artificial intelligence, check out The Robot Revolution: http://hubs.ly/H0630650
Let’s break down the basics of artificial intelligence, bots, and machine learning. Besides, there’s nothing that will impact marketing more in the next five to ten years than artificial intelligence. Learn what the coming revolution means for your day-to-day work, your business, and ultimately, your customers.
Every day, a large portion of the population is at the mercy of a rising technology, yet few actually understand what it is.
Artificial intelligence. You know, HAL 9000 and Marvin the Paranoid Android?
Thanks to books and movies, each generation has formed its own fantasy of a world ruled — or at least served — by robots. We’ve been conditioned to expect flying cars that steer clear of traffic and robotic maids whipping up our weekday dinner.
But if the age of AI is here, why don’t our lives look more like the Jetsons?
Well, for starters, that’s a cartoon. And really, if you’ve ever browsed Netflix movie suggestions or told Alexa to order a pizza, you’re probably interacting with artificial intelligence more than you realize.
And that’s kind of the point. AI is designed so you don’t realize there’s a computer calling the shots. But that also makes understanding what AI is — and what it’s not — a little complicated.
In basic terms, AI is a broad area of computer science that makes machines seem like they have human intelligence.
So it’s not only programming a computer to drive a car by obeying traffic signals, but it’s when that program also learns to exhibit signs of human-like road rage.
As intimidating as it may seem, this technology isn’t new. Actually, for the past half-a-century, it’s been an idea ahead of its time.
The term “artificial intelligence” was first coined back in 1956 by Dartmouth professor John McCarthy. He called together a group of computer scientists and mathematicians to see if machines could learn like a young child does, using trial and error to develop formal reasoning. The project proposal says they’ll figure out how to make machines “use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves.”
That was more than 60 years ago.
Since then, AI has remained for the most part in university classrooms and super secret labs … But that’s changing.
Like all exponential curves, it’s hard to tell when a line that’s slowly ticking upwards is going to skyrocket.
But during the past few years, a couple of factors have led to AI becoming the next “big” thing: First, huge amounts of data are being created every minute. In fact, 90% of the world’s data has been generated in the past two years. And now thanks to advances in processing speeds, computers can actually make sense of all this information more quickly. Because of this, tech giants and venture capitalists have bought into AI and are infusing the market with cash and new applications.
Very soon, AI will become a little less artificial, and a lot more intelligent.
Now the question is: Should you brace yourself for yet another Terminator movie, live on your city streets?
Not exactly. In fact, stop thinking of robots. When it comes to AI, a robot is nothing more than the shell concealing what’s actually used to power the technology.
That means AI can manifest itself in many different ways. Let’s break down the options…
First, you have your bots. They’re text-based and incredibly powerful, but they have limitations.
Ask a weather bot for the forecast, and it will tell you it’s partly cloudy with a high of 57. But ask that same bot what time it is in Tokyo, and it’ll get a little confused. That’s because the bot’s creator only programmed it to give you the weather by pulling from a specific data source.
Natural language processing makes these bots a bit more sophisticated. When you ask Siri or Cortana where the closest gas station is, it’s really just translating your voice into text, feeding it to a search engine, and reading the answer back in human syntax. So in other words, you don’t have to speak in code.
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