Artificial Intelligence has the potential to dramatically reshape our world in ways we’re only just beginning to imagine. More so than perhaps any other technology, AI stands to become the transformative force of the future.
Talent, community, and investment
Understandably, some of the brightest minds in the world are already working in the field, and every day more innovators, risk-takers, and forward-thinkers arrive to join their ranks. In many respects it’s a simple equation—incredible new technologies attract incredible new talent.
Udacity is very excited to announce a new competition, and a new partnership!
We are proud to be the exclusive education partner—with e-commerce giant Alibaba—for a new challenge hosted by Alibaba and IJCAI2017, a top conference in AI space, and the main international gathering of researchers in the field.
This post begins with a request—if you would, please assume for the sake of argument that your current job is going to be automated away in the not-too-distant future by some version of artificial intelligence. Then, please also assume that you’re still going to have a good job.
If the pro-AI side is correct, the preceding scenario will mean having a great deal more time available for putting your mental and emotional energy towards vastly more productive and creative things than you might otherwise be stuck doing. For example, instead of wasting four hours of time driving your car in commuter traffic because you live in an area with no viable public transportation, you could be sitting in a self-driving car writing, coding, talking, thinking, dreaming, inventing, what have you.
Now that we’re preparing to close the inaugural round of applications for our new Artificial Intelligence Nanodegree program, we are quietly but excitedly settling down to the work of rolling out this incredible curriculum for our incoming students. In this post, we’re going to look at the origin story of this program’s curriculum. The first step in preparing a comprehensive AI program is to understand the relevance and trajectory of the field itself.
AI Today, AI Tomorrow
One thing is unequivocally clear: There has never been a better time to study Artificial Intelligence. Demand for smarter solutions to problems big and small—combined with increasing access to high performance computing and an abundance of rich data sources—means AI is poised to seismically impact the world of computing for the better.
Artificial intelligence. Machine learning. Self-driving cars. If you’re keeping up with the rapid changes in the technology industry, you’re seeing a bunch of terms thrown around as if they’re interchangeable—but really, there are some pretty important distinctions. In this post, we’re going to demystify the differences, and clarify the relationships, among these terms, especially artificial intelligence, machine learning, and self-driving cars. Let’s begin with a simple model for how we’ll approach this topic:
Artificial intelligence is the ‘what’.
Machine learning is the ‘how’.
Self-driving cars are the ‘why’.
At Udacity, we believe applications of artificial intelligence will bring transformative change to all industries, and not in some distant science-fiction future—we are seeing rapidly growing demand for AI-related skills right now, and new artificial intelligence jobs are emerging every day. This is exactly why we created our recently announced Artificial Intelligence Nanodegree program.
Many of these jobs are still very new however, and we’ve learned from our program applicants—who already number in the thousands!—that while they’re excited about their prospects, they also have questions about exactly what kinds of jobs they’ll be able to pursue after graduating from this program.
So we took it upon ourselves to answer this question. To begin, we needed concrete data. We looked at thousands of job descriptions posted on common job hunting sites like Stack Overflow, Indeed, and Hacker News, and we found some very interesting trends for those considering careers in artificial intelligence.
Over 3000 people have applied to our new Artificial Intelligence Nanodegree program since we opened applications on October 25th! So we’re clearly not the only ones excited about AI. Which means we’re not the only ones excited about our next guest for Udacity Talks.
Yann LeCun’s name is virtually synonymous with both artificial intelligence and deep learning, and his role as the Director of AI Research at Facebook makes him arguably one of THE most visible and influential voices in the field. Which is why we’re so thrilled to announce the following:
Yann LeCun will be our Udacity Talks guest on November 1st!