Detectives have launched an investigation after three drones disrupted flights at an airport during a nearby music festival. Leicestershire police said a pilot of one of the unmanned aerial vehicles (UAVs) had been interviewed by officers after it was reported to police at 9.30am on Saturday near the Download festival at Donington Park. Two further drones were reported inside the restricted airspace at East Midlands airport at midnight and on Sunday at 1.30pm. Flights were delayed at the airport as a result of the drones. Police said they had carried out inquiries in conjunction with the Civil Aviation Authority and East Midlands airport.

Fox News Flash top headlines for June 17 are here. Check out what's clicking on Foxnews.com Pete Buttigieg fears that artificial intelligence may further fuel racial bias in America's already challenging credit scoring system. The 37-year-old Democratic presidential candidate was asked by a black business owner about the denial of funding during the Black Economic Alliance Forum that was held in Charleston, S.C. "I'm very worried, living in an era where more and more of this is going to be done by algorithms and by big data, that we're going to automate inequality by failing to be intentional about how some of these algorithms pick up structures and systems and attitudes and assumptions that were already racist in nature," said Buttigieg, who is the mayor of South Bend, Ind., according to Bloomberg. Several Big Tech firms have been criticized over the potential for bias in AI.

The Bots Next Door follows the domestic lives of Roni and Rana Robot - a pair of sentient, artificial intelligence droids, trying to get on in a world dominated by humans. The Palo Alto treaty has decreed that creative limiters are now mandatory, to ensure artificial intelligence robots remain focused on their programmed function, and not anything else. But before they can be integrated into society to live among us, all bots must be'assigned' a lifelong menial vocation and'unified' into couples... Recently robo-coupled, trainbot R.O.N.I. and carebot R.A.N.A. are moving out of Skid Ro-bot into a home of their own. Things get worse when Roni unexpectedly finds himself both'unassigned' and able to have creative thoughts, putting Rana's social climbing aspirations in jeopardy.

I just briefly wanted to say a little bit about my background. I studied Math and Computer Science in college and then did a Ph.D. in Math. I worked as a quant in Energy Trading and that's where I first started working with data. I was an early data scientist and backend developer at Uber. I taught full stack software development at Hackbright. I really love teaching and I think I'll always return to teaching in some form. And then two years ago, together with Jeremy Howard, I started fast.ai with the goal of making deep learning more accessible and easier to use. I'm on Twitter @math_rachel and, as William said, I blog about diversity on Medium @racheltho, and I blog about data science at fast.ai. I just have one slide about fast.ai. We have this, as William mentioned, a totally free course, "Practical Deep Learning for Coders." The only prerequisite is one year of coding experience. It's distinctive in that there are no advanced math prerequisites, yet it takes you to the state-of-the-art. We've had a lot of success. We've had students get jobs at Google Brain, have their work featured on HBO and in Forbes, launch new companies, get new jobs.

Cassie Kozyrkov has served in various technical roles at Google over the past five years, but she now holds the somewhat curious position of "chief decision scientist." Decision science sits at the intersection of data and behavioral science and involves statistics, machine learning, psychology, economics, and more. In effect, this means Kozyrkov helps Google push a positive AI agenda -- or, at the very least, convince people that AI isn't as bad as the headlines claim. "Robots are stealing our jobs," "AI is humanity's greatest existential threat," and similar proclamations have abounded for a while, but over the past few years such fears have become more pronounced. Conversational AI assistants now live in our homes, cars and trucks are pretty much able to drive themselves, machines can beat humans at computer games, and even the creative arts are not immune to the AI onslaught. On the flip side, we're also told that boring and repetitive jobs could become a thing of the past.

Cassie Kozyrkov has served in various technical roles at Google over the past five years, but she now holds the somewhat curious position of "chief decision scientist." Decision science sits at the intersection of data and behavioral science and involves statistics, machine learning, psychology, economics, and more. In effect, this means Kozyrkov helps Google push a positive AI agenda -- or, at the very least, convince people that AI isn't as bad as the headlines claim. "Robots are stealing our jobs," "AI is humanity's greatest existential threat," and similar proclamations have abounded for a while, but over the past few years such fears have become more pronounced. Conversational AI assistants now live in our homes, cars and trucks are pretty much able to drive themselves, machines can beat humans at computer games, and even the creative arts are not immune to the AI onslaught. On the flip side, we're also told that boring and repetitive jobs could become a thing of the past.

In Canadian author Margaret Atwood's book "Blind Assassins," she says that "touch comes before sight, before speech. It's the first language and the last, and it always tells the truth." While our sense of touch gives us a channel to feel the physical world, our eyes help us immediately understand the full picture of these tactile signals. Robots that have been programmed to see or feel can't use these signals quite as interchangeably. To better bridge this sensory gap, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have come up with a predictive artificial intelligence (AI) that can learn to see by touching, and learn to feel by seeing.

Only 39% of people are interested in a career in AI with 59% of those aged under 45, according to research by the Department for Business, Energy & Industrial Strategy (BEIS) and Kantar Public. The report, which was released for London Tech Week this week, also found a gender divide over interest in AI jobs. Just 31% of women said they'd be interested compared to 47% of men. More than 60% of people were excited to see what AI can do, however, and awareness levels of AI in everyday life were found to be more than 60%. But there appeared to be low awareness around the impact of AI on work.

In this talk I will discuss some of the long-term challenges emerging with the effort of making deep learning a relevant tool for controlled scientific discovery in many-body quantum physics. The current state of the art of deep neural quantum states and learning tools will be discussed in connection with open challenging problems in condensed matter physics, including frustrated magnetism and quantum dynamics. Variational algorithms for a gate-based quantum computer, like the QAOA, prescribe a fixed circuit ansatz --- up to a set of continuous parameters --- that is designed to find a low-energy state of a given target Hamiltonian. After reviewing the relevant aspects of the QAOA, I will describe attempts to make the algorithm more efficient. The strategies I will explore are 1) tuning the variational objective function away from the energy expectation value, 2) analytical estimates that allow elimination of some of the gates in the QAOA circuit, and 3) using methods of machine learning to search the design space of nearby circuits for improvements to the original ansatz.

If the financial industry has taught us anything in the past, it is that we can no longer postpone digital transformation in banks. Today, consumers expect to perform banking transactions from anywhere and anytime. The technological advancements that offer improved interface and inclination of customers for convenience drive the market of online banking. According to a research firm, Allied Market Analytics, the global online banking market is expected to reach $29.98 billion by 2023, with a compound annual growth rate (CAGR) of 22.6% during the period 2017–2023. The increased demand for digital versions of the traditional bank has caused several financial institutions to seek out better solutions to securely digitalize their offering and transactions while maintaining low costs.