Depending upon which automaker you listen to, you could be riding in a self-driving car within one to five years. As cool as that sounds, the car will look pretty familiar, with a steering wheel and pedals and a dashboard just like you're used to. But in time, those features will change, if not vanish--an idea that excites automotive designers because it opens new opportunities. Seats that turn to face the rear passengers. This creates new problems, not the least of which is what to do with the airbags.

A new finding could shake the very foundations of our understanding of particle physics, and the universe. A review of three separate experiments, including one conducted at the Large Hadron Collider, has turned up'remarkably similar' results. The studies suggest that lepton universality - a fundamental assumption of the standard model - does not hold up. Instead, they point to the existence of a new phenomenon that exists outside of the standard model of particle physics. Earlier this year, researchers with Cern's LHCb experiment (pictured) found'intriguing anomalies', a discovery that has now been used as one of the three pieces of research included in a new Nature review.

The government endorsed a plan Friday to prioritize investment in human resource development to buttress Japan's economic growth and improve its tattered finances. Japan will maintain its pledge to achieve a surplus in the primary balance by fiscal 2020, while the government's annual economic policy blueprint said that another indicator used to gauge fiscal health -- the debt to gross domestic product ratio -- is also important. Ballooning social security costs have made it imperative to rein in spending as the graying of its population picks up pace. One key step on the agenda is to make preschool education free, although questions remain over how to fund such a policy. The blueprint only states that a decision should be reached by the end of the year. With a public debt twice the size of its GDP, Japan's fiscal health is already the worst of the major economies.

Every new technology goes through an adoption cycle, either in a society or inside one particular organization. Whether the process goes smoothly or not, depends on company's readiness to accept radical change. The transformation may seem complicated and unclear at first. However, it becomes substantially easier to adapt to change pursuing a number of preconditioned rules. InData Labs experts have a lot of experience and many years of practice in guiding companies within different industries through the process of AI-transformation.

Ravens have long been said to posses impressive intelligence and it seems they also remember people who treat them unfairly. Researchers have found that the creatures could recall trainers who gave them a raw deal by stealing their food up to a month later. The findings add to a growing understanding of the highly intelligent behaviour demonstrated by the corvid family of birds, which includes crows, ravens, magpies and others. Researchers from the University of Vienna have found that ravens (pictured) can remember being conned by human trainers up to a month after they last had contact. A group of ravens were trained to trade chunks of bread for lumps of cheese.

They are used for a number of things like customer service and personal queries. Sometimes, they seem positively human. Today's chat bots are appearing everywhere and anywhere. That's because more people are adopting mobile devices and relying on mobile applications. Companies are forced to deliver a mobile-first experience, one that tailors to everything the platform is known for -- the number one element being convenience.

These are heady times in machine learning and artificial intelligence; new algorithms, TensorFlow, and clusters of powerful GPU's are combining to produce powerful systems that can do things like beat the world's best Go player. But with great power comes great responsibility. Let me tell you a story about the unintended consequences of well-meaning machine learning research. I had been working on Amazon.com's You know, the recommender systems that sell you stuff you never knew existed based on your past interests and purchases, and generate a sizable percentage of Amazon's revenue.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

It's become a punchline in the tech industry that every start-up is out to change the world. When it comes to medical technology, however, some of the biggest names in Silicon Valley are poised to do just that. Apple, Google and Amazon have announced or are reported to be developing cutting-edge technologies for managing diabetes, one of the fastest-growing chronic illnesses, affecting more than 420 million people worldwide. Experts say we're at the dawn of a new era of personal technology for a variety of chronic conditions, including diabetes, heart disease and hypertension. "It really isn't a surprise you'd see companies like Apple and Google focusing on this," said Mike Matson, a senior analyst at the investment firm Needham & Co. "They're always looking for new opportunities for growth and healthcare is a big market."

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on DSC. Enjoy the reading, or become one of our bloggers and start posting articles and tutorials on DSC.