The public queues for hours at the Musée du Louvre in Paris to catch a glimpse of this much studied portrait. But, according to AI, it's not much to look at really. At least that is the outcome from a project being undertaken at the Art and Artificial Intelligence Lab at Rutgers University. The team at Rutgers has been using AI to analyze and create art for the past five years, studying around 80,000 different paintings by over 1,100 artists. One of the first outcomes from the research was the replication of known painting styles.

Fortnite developers have had to pull the new season's biggest feature just hours after it was released. When the new update arrived, players rushed to get their hands on the "shadow stone": an object that could make the players who held it invisible. It was the most central of the spooky new updates, which also include the ability to have pets and changes to the map. But when they arrived in the game, players found that the invisibility wasn't necessarily temporary, as expected. Instead, there was a way of going invisible forever.

Instead it is about a thoroughly progressive, completely 360 degree view of the traveller and everything that goes into creating special, unique, memorable experiences." Did you get your tickets directly from the ticket office? In today's fast-paced world, finding time to travel to a ticket office and get your tickets is a luxury few can afford. Besides, why bother if you can get your tickets in just a couple of clicks via your laptop or even your smartphone? Indeed, digital travel sales grew rapidly over the last several years, totaling $564.87 billion in 2016. And the number is expected to reach $817.54 billion by 2020. Such explosive growth is fueled by recent technology advances, not the least of which is data science. We at AltexSoft are no strangers to successfully applying data science and machine learning technologies to the field of custom travel software development.

If you are in the Information Technology space, you are likely knowledgeable on what artificial intelligence holds. In fact, considering AI, the future of Information Technology appears bleak to some experts but promising to others. Some workers are concerned with the future of their jobs. Yes, research reveals that automation and artificial intelligence could be coming for these jobs. In fact, there is a possibility of a replacement of over 22 million jobs within the next decade – in the United States alone.

Simply put, the Internet of Things (IoT) is the intersection of hardware, the internet and sensors with one another. European engineering tends to be in the spotlight within this industry, because of the tradition of top technical and engineering universities. The Institute of Electrical and Electronic Engineers (IEEE) says that about 30bn connected objects will constitute the worldwide IoT by 2020 – an estimated $7.1bn market – and European hardware and IoT startups hold the controls to one of the biggest revolutions mankind will witness heavily in the near future. From very innovative chips to sensors and drones to IoT "in the cloud", here are 10 promising IoT startups to watch in 2018 – a top mix of technology innovators from all corners of Europe. Smartfrog has developed a universal IoT platform designed to build dedicated solutions across product areas.

A machine learning system overseen by a researcher at KTH Royal Institute of Technology has produced 100,000 new folk tunes to date, generating a diverse range of reactions from folk musicians and the public. Some of the music can even be heard on a newly-released album by an Irish folk group. Bob Sturm, associate professor of computer science in the Department of Speech, Music and Hearing, says that the main idea of the project was to train computer models on folk music, so that they appear to have some musical intelligence, and then to "devise methods to unravel what they are actually doing," he says. Check out our master's programme courses The research subsequently led to creative opportunities. "Our work with many collaborators, such as composer Oded Ben-Tal at Kingston University in the UK, and professional musicians, has also shown how the models can serve a wider purpose: as useful partners in creating new music," Sturm says.

In this interview, Tamim Saleh cuts through the hype around artificial intelligence with guidance for executives about where and how to employ AI in their businesses. In this episode of our Inside the Strategy Room podcast, senior partner Tamim Saleh cuts through the hype around artificial intelligence (AI) and offers clear guidance for executives looking to make precise strategic decisions about where and how to employ AI in their businesses. Tamim shares insights on the impact of machine vision on AI, the future of voice recognition, and the latest developments in advanced analytics, virtual assistants, and robotics. He outlines the challenges companies face when adopting AI and the steps CEOs can take to overcome them. Tamim is a senior partner in our London office, and he is with me at our Global CFO Forum, where he's speaking about AI and machine learning. Tamim, one of the things you've talked about is the notion of five different developments of AI. Tamim Saleh: Machine learning and AI are limited by the fact that when we input data as humans, first of all we are slow, and we make mistakes. One of the fastest-growing technologies is capturing data through image analytics and cameras. And the beauty of this is, cameras don't make the same mistakes we do, because they capture things the way they are, and they don't see the world the same way that we do. In fact, the spectrum is much wider than what we see. It includes infrared, et cetera.

Killing comes in degrees of intimacy. At one extreme there is the example of Freddie Oversteegen, a hero of the Dutch resistance, who as a 14-year-old-girl used to pick up German soldiers and collaborators in bars, lure them into the woods, and once in a secluded spot shoot them dead. Long after the war, she told an interviewer that when seeing a man she had just shot fall, "you want to help them to get up". At the far extreme, perhaps, were the crew of Enola Gay, who killed 80,000 civilians with one bomb, dropped on Hiroshima from miles above. Drone pilots are even safer and further from their victims than high-altitude bombers.

Load up the homepage for e-commerce giant, Alibaba – a wholesale shopping site that's more or less China's answer to eBay – and you'll find images and descriptions of anything you could wish to buy, from kitchen sinks to luxury yachts. Every item has a short headline, but most are little more than lists of keywords: hand-picked search terms to ensure this USB phone charger or that pair of flame-resistant overalls float to the top in a sea of thousands upon thousands of similar items. It sounds simple, but there's an art to this copywriting. Yet Alibaba recently revealed that it is training an artificial intelligence to generate these item descriptions automatically – and they're not the only ones. Over the last few decades AIs have been taught to compose music, paint pictures and write (bad) poems. "Generative bots are the new chatbot," says Jun Wang at University College London.

This paper presents an approach for inferring geometric constraints in human demonstrations. In our method, geometric constraint models are built to create representations of kinematic constraints such as fixed point, axial rotation, prismatic motion, planar motion and others across multiple degrees of freedom. Our method infers geometric constraints using both kinematic and force/torque information. The approach first fits all the constraint models using kinematic information and evaluates them individually using position, force and moment criteria. Our approach does not require information about the constraint type or contact geometry; it can determine both simultaneously. We present experimental evaluations using instrumented tongs that show how constraints can be robustly inferred in recordings of human demonstrations.