Our time and our lives are precious to us, and Padmasree Warrior (CEO NIO) has something important to say about that. In a recent blog post on the NIO company website, she states the following:
“Autonomous electric cars will be here sooner than we think, and they will save us time and perhaps even our lives.”
On March 8, 2017, it was announced to the world from the stage of Intersect 2017 that Udacity and DiDi were partnering to sponsor a $100k Self-Driving Car Challenge. To which the world has since responded: challenge accepted!
Over 1000 teams have signed up to compete in the challenge, with registrants coming in from the US, China, India, Canada, Germany, the UK, Japan, and more. The final deadline to register is April 21, 2017 at 11:59 PM PST, but the clock is already ticking! Join the competition today, create or join a team, and get ready, because the first round of the challenge starts on March 22nd!
If you had asked us—back when we first committed to our Intersect 2017 conference theme of Learning for the Jobs of Today, Tomorrow, and Beyond—which “category” Self-Driving Car jobs belonged in, we might have been tempted to say “beyond.” As we’re learning, however, nothing could be further from the truth!
Our Intersect 2017 conference is but a few weeks away now, and as we draw closer to the big event, we continue to think through the implications of the theme we’ve chosen: Learning for the Jobs of Today, Tomorrow, and Beyond. As detailed in a previous post, we’ve found ourselves thinking quite a bit about our Self-Driving Car Nanodegree program students in particular, as in many ways their paths seem emblematic of what this theme is all about, especially the “jobs of tomorrow” part.
As it turns out, however, Self-Driving Cars as an employment field is very much a “jobs of today” space, as evidenced by how many of our current students are already finding jobs! We’re honored to highlight a number of these stories and share them with you, and today we feature Caleb Kirksey.
When we chose Learning for the Jobs of Today, Tomorrow, and Beyond as our Intersect 2017 conference theme, we were thinking about the journey from learning to a job at a fairly high level, as we wanted to embrace something that would resonate through every aspect of the conference.
Once the planning stages were largely behind us, we were able to really start looking at the meaning of this theme at eye-level, and thinking about what it means to each individual student.
We found ourselves in particular thinking about our Self-Driving Car Engineer Nanodegree program students, as in many ways they are preparing themselves for an industry that is still in the imagination stages! Self-driving cars are coming. We know this, as do our students. But the roles they’re now preparing for truly are the jobs of tomorrow.
Or are they?
The mission statement says it all: “The future is in smart, electric and autonomous vehicles, and we aim to lead the way.” When a statement like that comes from a company like NIO, which is led by a person like Padmasree Warrior, you simply have to take notice.
We certainly take notice, and you will too, particularly after you’ve had the chance to engage directly with Padmasree Warrior during our next Udacity Talks episode!
RSVP today for Udacity Talks with Padmasree Warrior on Friday, January 27 at 1:30pm PDT!
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’.