DAVOS: Open markets and global trade have been blamed for job losses over the last decade, but global CEOs say the real culprits are increasingly machines. And while business leaders gathered at the annual World Economic Forum (WEF) in Davos relish the productivity gains technology can bring, they warned this week that the collateral damage to jobs needs to be addressed more seriously. From taxi drivers to healthcare professionals, technologies such as robotics, driverless cars, artificial intelligence and 3D printing mean more and more types of jobs are at risk. Adidas, for example, aims to use 3D printing in the manufacture of some running shoes. "Jobs will be lost, jobs will evolve and this revolution is going to be ageless, it's going to be classless and it's going to affect everyone," said Meg Whitman, chief executive of Hewlett Packard Enterprise.

The Next Tsunami AI, Blockchain, IOT, and Our Swarm Evolutionary Singularity @DinisGuarda - Founder and CEO 2. AI is going to change everything? This concept is employed in work on artificial intelligence and needs to be taken in consideration as we evolve with AI and tech. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. In this complex ecosystem what is our human singularity? What is creativity in a digitalised, blockchain, nano technology - IoT AI evolutionary swarm world?

Futurist and Stanford professor Paul Saffo looked out over a mostly male, mostly affluent-looking audience one morning this week and challenged them to identify the most significant event of 1989. "Fall of the Berlin Wall?" someone offered. Saffo shook his head and gestured at a slide showing a memo titled "Information Management: A Proposal," the first blueprint for what became the World Wide Web. "In terms of history, this did more to change the world," he said solemnly. His audience of 90 executives from finance, energy, and other sectors murmured and nodded approvingly--this is just the kind of perspective they came for.

Google is intending to expand the dev tools available to makers using the Raspberry Pi microprocessor to power their projects this year -- potentially offering software tools for face- and emotion-recognition, speech-to-text translation, natural language processing, sentiment analysis, predictive analytics and more. The company is currently running a survey for Pi makers asking about the sorts of tools they would like it to develop. You can access the survey via the Raspberry Pi Foundation's website. "We at Google are interested in creating smart tools for Makers, and want to hear from you about what would be most helpful," it says in this survey. Tech areas that can be selected during the survey include home automation, drones, IoT, robotics, 3D printing, wearables and machine learning -- so the company is casting a pretty wide net here. We've reached out to Google and the Pi Foundation with questions and will update this post with any response.

A year ago, in a report on Big Data and investment management, Citi Business Advisory Services predicted that "with the improved volume, velocity and variety of data inherent in the big data approach, the innovation seen in systematic trading models over the past decade could accelerate." One of the platforms highlighted in the Citi report was DataSift, a service that promises to "integrate social, blog and news data in a single place." Or as Citi put it, DataSift aggregates "marquee data source partners, including Edgar Online, Wikipedia, and WordPress." Edgar, of course, is consistent with old-fashioned ideas of what hedge fund managers through various third parties should keep track of. But Wikipedia presence on this short list might pull up short those who still think of it as a pastime for nerds who like to think of themselves as editors.

Classrooms are noticeably more hi-tech these days - interactive boards, laptops and online learning plans proliferate, but has the curriculum actually changed or are children simply learning the same thing on different devices? Some argue that the education this generation of children is receiving is little different from that their parents or even their grandparents had. But, in a world where artificial intelligence and robots threaten jobs, the skills that this generation of children need to learn are likely to be radically different to the three Rs that have for so long been the mainstay of education. The BBC went along to the Bett conference in London in search of different ways of teaching and learning. A stone's throw from the Excel, where Bett is held, stands a new school that is, according to its head Geoffrey Fowler, currently little more than a Portakabin.

Welcome to our latest look at the newest apps - this week featuring an app we wish we'd had when we were at school. Socratic tops our list as it pretty much does your homework for you. And tells you how to explain it too, just in case your teacher asks. We've also taken a look at a new download for splitting your household bills and had a nose round the updated version of a popular productivity app. This is being hailed as the ultimate maths cheat - you just point it at any written sum and it gives you the answer using artificial intelligence. And not just that, it also instantly provides step-by-step how-to guides on how your problem was solved.

While many alien hunters search the cosmic for extraterrestrials, one claims to have spotted'an Iron Man robot' hitchhiking on Comet 67P. The bizarre sighting was found in an image of Churyumov–Gerasimenko that was snapped by the Rosetta spacecraft a few days before it met its demise is September. The conspiracy theorist has also claimed that there is a lion face etched in one of the rocks and another sculpture laying in the dust that were'made by intelligent beings'. While many alien hunters search the cosmic for extraterrestrials, one claims to have spotted'an Iron Man robot' hitchhiking on Comet 67P. Pareidolia is the psychological response to seeing faces and other significant and everyday items in random stimulus.

In coming years residential consumers will face real-time electricity tariffs with energy prices varying day to day, and effective energy saving will require automation - a recommender system, which learns consumer's preferences from her actions. A consumer chooses a scenario of home appliance use to balance her comfort level and the energy bill. We propose a Bayesian learning algorithm to estimate the comfort level function from the history of appliance use. In numeric experiments with datasets generated from a simulation model of a consumer interacting with small home appliances the algorithm outperforms popular regression analysis tools. Our approach can be extended to control an air heating and conditioning system, which is responsible for up to half of a household's energy bill.

We introduce the implicitly constrained least squares (ICLS) classifier, a novel semi-supervised version of the least squares classifier. This classifier minimizes the squared loss on the labeled data among the set of parameters implied by all possible labelings of the unlabeled data. Unlike other discriminative semi-supervised methods, this approach does not introduce explicit additional assumptions into the objective function, but leverages implicit assumptions already present in the choice of the supervised least squares classifier. This method can be formulated as a quadratic programming problem and its solution can be found using a simple gradient descent procedure. We prove that, in a limited 1-dimensional setting, this approach never leads to performance worse than the supervised classifier. Experimental results show that also in the general multidimensional case performance improvements can be expected, both in terms of the squared loss that is intrinsic to the classifier, as well as in terms of the expected classification error.