What does Elon Musk do with all his money? Tesla boss Elon Musk has been one of the world's richest people for several years now, and that wealth recently went stratospheric when he became the first half-trillionaire. Despite this, Musk has insisted he leads a largely unglamorous lifestyle. He said in 2021 that he lived in a Texas home valued at $50,000 (£38,000). His former partner Grimes, with whom he has two children, told Vanity Fair in 2022 he does not live the extravagant life of excess luxury many assume.

In a fast paced world where people desire more in less, Ted Talks are evolving the landscape of learning and spreading education and awareness among people who need it. This platform of education is transforming lectures into interesting interactions consuming less time as several professionals are unable to attend day-long conferences to educate and update themselves. Moreover, in terms of technology or particularly artificial intelligence (AI), the introduction of TED Talks is also beneficial with regard to money owing to its free availability online. Presenters, who are passionate technology experts, take on the stage and speak with such energy and momentum where their enthusiasm contagiously boosts up youngsters. Therefore, here we have brought you the top AI Ted Talks that will elevate your reasoning and education about the technology.

John Brockman: On the Promise and Peril of AI • Seth Lloyd: Wrong, but More Relevant Than Ever • Judea Pearl: The Limitations of Opaque Learning Machines • Stuart Russell: The Purpose Put Into the Machine • George Dyson: The Third Law • Daniel C. Dennett: What Can We Do? • Rodney Brooks: The Inhuman Mess Our Machines Have Gotten Us Into • Frank Wilczek: The Unity of Intelligence • Max Tegmark: Let's Aspire to More Than Making Ourselves Obsolete • Jaan Tallinn: Dissident Messages • Steven Pinker: Tech Prophecy and the Underappreciated Causal Power of Ideas • David Deutsch: Beyond Reward and Punishment • Tom Griffiths: The Artificial Use of Human Beings • Anca Dragan: Putting the Human into the AI Equation • Chris Anderson: Gradient Descent • David Kaiser: "Information" for Wiener, for Shannon, and for Us • Neil Gershenfeld: Scaling • W. Daniel Hillis: The First Machine Intelligences • Venki Ramakrishnan: Will Computers Become Our Overlords?

You might be using your drone (or thinking about getting a drone) for epic vacation shots and ultra-romantic wedding videos, but you should be thinking bigger. What if, instead of taking pictures of you, your drone could help you monitor hundreds of acres of crops? And what if it could fix those flaws or water those crops as soon as it spotted them? Just as self-driving cars could fundamentally rearchitect the way cities work, drones have a disruptive potential that's hard to overstate. They could change the way people and goods are transported (where we're going, we don't need roads!), eliminate some jobs and create others, and upend the way we think about distance. Drones could bring the internet to people who don't have it, deliver food and medicine to people who need it, and cast a watchful eye over anyone and everyone. Drones are even inspiring new sports!

Mike Salem from Udacity's Robotics Nanodegree is hosting a series of interviews with professional roboticists as part of their free online material. Chris is a former Wired magazine editor turned robotics company co-founder and CEO. You can find all the interviews here. We'll be posting them regularly on Robohub.

Solo, as 3DR's blog post on the matter makes clear, is "based on the open source ArduPilot software" launched by Chris Anderson (a one-time Wired scribe) and Jordi Munoz in 2007. While ArduPilot is still going today, OpenSolo – as new versions of Solo will henceforth be known – is being absorbed by that project. While 3DR's Solo-branded quadcopter was generally well regarded from a technical standpoint by the drone user community, aggressive expansion tactics by DJI and a less-than-stellar product launch saw the American firm effectively crash late last year, as Forbes reported. At its height even Richard "Beardy" Branson, of Virgin infamy, had invested in 3DR. Earlier this week 3DR said it is integrating its Site Scan software with DJI's own enterprise offering, in a gesture seen as surrendering one of its last remaining scraps to the Chinese behemoth.

Back when I was doing research, one of my advisors once joked that, if you wait long enough, you can produce an old result using new methods, manage to get it published, and everyone will be impressed. I think his time limit was 15 years. Apparently, when it comes to big ideas about science (rather than scientific results), the schedule's a bit accelerated. Just shy of 10 years ago, Chris Anderson, then Editor-in-Chief at Wired, published a piece in which he claimed that cloud computing was making the scientific method irrelevant. All those models and theories didn't matter, so long as an algorithm could identify patterns in your data.

This is a guest post by author William Hertling. The views expressed here are his own and do not reflect those of his employer, the IEEE, or IEEE Spectrum. At South by Southwest Interactive last month, I debated the future of artificial intelligence with my co-panelists. The roboticist on the panel argued that AI is an intellectually challenging field where the problems are difficult, and therefore can be solved only by highly intelligent people working on obscure mathematics and algorithms. The future, he argued, will look much like the past: a series of incremental, hard-won improvements in very narrow fields.