By late 2017, I'd reported on so many cosmetic surgery stories that I started wondering if I should get something done myself. Looking in the mirror, I couldn't pinpoint what procedure would make me look better. So I turned to the now defunct startup Analyze My Face for advice. The startup asked me to take hi-res images of my face using my DSLR, and then uses that picture to consult with dental and cosmetic surgeons to create a mockup of the "best" face for me; apparently I could use fillers due to poor chin projection and Madame Butterfly surgery on my lower eyelids to fill out the hollows. I was impressed at the time, but two years is a long time in tech; today algorithms, not humans, would make this assessment.

Across the globe, companies are amassing volumes of data with the intent of optimising performance, identifying trends and meeting rising consumer expectations. Yet nearly 75% of global financial services and insurance executives admit they are challenged by the fractured nature and vast amount of data available, citing rich analytics capabilities as difficult to achieve. In the UK alone, 71% of executives admit they are challenged by the immense data they have. With these challenges in mind, a new Aite Group study commissioned by TransUnion found that executives in the financial services and insurance industries plan on continuing to secure more data sources. Furthermore, they look to incorporate more artificial intelligence (AI) and machine learning (ML) technology into their analytic platforms to help them make sense of the information.

Businesses are expected to spend as much as $97.9 billion annually on AI projects by 2023, up from just $37.5 billion this year, IDC forecasts. But there's still some debate about what qualifies as true AI. When China's state-run Xinhua News Agency last year announced that it had created the "world's first" AI news anchor, some in the industry balked. The digital anchor was built to move and speak as a normal anchor would, but its underlying technology leaned closer to machine learning than true artificial intelligence. Perhaps the simplest definition of what constitutes AI came from one of the founders of the discipline, Stanford University Professor John McCarthy, who died in 2011.

"AI will be as central to the white-collar office environment as robotics has been to the production economy," said Mark Muro, senior fellow and policy director of the Metropolitan Policy Program at the Brookings Institution. "They'll fundamentally change what work is and what humans do. And no one gets a free pass." What's happening: A new analysis released Wednesday by Brookings overlaid the keywords in AI-related patents with job descriptions to get a more detailed understanding of which jobs are most likely to be affected by AI -- and where they are. The big picture: Much of the research assessing the workforce impact of these new technologies -- robotics, AI, and machine learning -- lumps them all together under the bucket of automation.

Like a kid burning holes in their toys using a magnifying glass, solar furnaces essentially do the same thing on a much grander scale. The larger an array of reflectors you can build, the bigger the sun-focusing lens you get. But a new startup is promising a better way to build solar furnaces using AI to reduce their footprint while boosting their power output. Even Donald Trump's solar tariffs and desire to prop up the coal industry can't stop renewable… In recent years the price of solar energy has dropped dramatically, and it's estimated that the cost of building plants like Nevada's Eagle Shadow Mountain Solar Farm, which officially begins generating power sometime in 2021, is actually cheaper than just operating existing coal or natural gas plants. Harnessing the immense energy of the sun is an obvious alternative to relying on fossil fuels to generate power, but in order to generate the temperatures needed to create molten salt, which is what solar plants like these use to create steam to turn electrical generators, temperatures of around 600 C are needed, which requires a vast array of reflectors (or heliostats), and a big chunk of land on which to install them.

Grimes appeared on the podcast Mindscape with the theoretical physicist Sean Carroll, discussing artificial intelligence, virtual personae, her production process, and more. Listen to the episode below. "I feel like we're in the end of art, human art," she tells Carroll. "Once there's actually AGI (Artificial General Intelligence), they're gonna be so much better at making art than us...once AI can totally master science and art, which could happen in the next 10 years, probably more like 20 or 30 years." Grimes, who says she's "post-style," also details the birth of a new digital avatar, possibly named "War Nymph."

I have a four-foot-tall robot in my house that plays with my kids. Both my daughters, aged 5 and 9, are so enamored with Jethro that they have each asked to marry it. For fun, my wife and I put on mock weddings. Despite the robot being mainly for entertainment, its very basic artificial intelligence can perform thousands of functions, including dance and teach karate, which my kids love. The most important thing Jethro has taught my kids is that it's totally normal to have a walking, talking machine around the house that you can hang out with whenever you want to.

There is no doubt that artificial intelligence (AI) will be a significant driver of Europe's economic success over the coming decade. What is less clear, however, is how we can capitalise on this new technology, and its potential to solve many of society's biggest challenges. To do that we need to understand the current state of play: where Europe's AI talent is today and how that compares to other countries. Leaders need this grounded, fact-based research to help them understand how best to evolve policies and strategies to develop and attract the best talent. This is exactly what we set out to do using the latest research from our Economic Graph -- a digital representation of the global economy based on over 660 million members, 37 thousand skills, 30 million companies, 20 million open jobs, and 90 thousand schools -- which gives us a unique view of the world of work.

It is One of a kind gathering of 250 pre-qualified CIOs, CEOs, CTOs, Heads of AI, Chief Digital Officers, Heads of Innovation and International AI & ML experts. Where Dr.Tejinder Singh the founder of Qtickets, Qtsouq, 360-nautica is one of the Member of Investor and Jury Panel for the regional panel of the Startup World Cup taking place @ Qatar.

The University of Texas at San Antonio is participating in a pioneering program to introduce artificial intelligence principles to students in all academic disciplines. UTSA is working with MITRE, a not-for-profit corporation dedicated to research and development in the public interest, to help faculty develop lesson modules incorporating AI, big data analytics and data visualization in classrooms across campus this academic year. The project, codenamed "Generation AI Nexus" or "Gen AI," refers to anyone born in 1995 and later. The goal is to help all students, regardless of their major, understand AI and how to use it as an effective tool. "As an organization of system thinkers and problem solvers, MITRE recognizes the need for novel partnerships with universities to develop talent for the 21st century workforce," said Bobby Blount, department head for cyber ops and C2 effects at MITRE.