Fear of our jobs being replaced by machines dates all the way back to the invention of the cotton gin in 1793 and maybe even earlier. But as new machines, computers, and robots are developed and jobs are lost, we have learned new jobs are created: programmers, code-writers, and so on, and society adapts. However, as technology continues to advance, the artificial intelligence capabilities of some of these new "machines" make them seem more human than ever. As a lawyer, it makes you wonder: Can these new iPeople be held liable? Think about the bank teller and the fear he must have experienced when the invention of the ATM was announced, or the cashier when self-checkout was introduced.

Some foundations of statistical science have been questioned recently, especially the use and abuse of p-values. See also this article published in FiveThirtyEight.com. Statistical tests of hypotheses rely on p-values and other mysterious parameters and concepts that only the initiated can understand: power, type I error, type II error, or UMP tests, just to name a few. Pretty much all of us have had to learn this old stuff (pre-dating the existence of computers) in some college classes. Sometimes results from a statistical test will be published in a mainstream journal - for instance about whether or not global warming is accelerating - using the same jargon that few understand, and accompanied by misinterpretations and flaws in the use of the test itself.

Since we established our new European Headquarters in Valencia last July, we have been carrying the Machine Learning banner at all major tech events in the city. This time we were proud sponsors of the third edition of PyConES, the marquee Python event held in Spain. During the weekend event, almost 400 developers attended the conference.

NOT since the era of imperial Rome has the "thumbs-up" sign been such a potent and public symbol of power. A mere 12 years after it was founded, Facebook is a great empire with a vast population, immense wealth, a charismatic leader, and mind-boggling reach and influence. The world's largest social network has 1.6 billion users, a billion of whom use it every day for an average of over 20 minutes each. In the Western world, Facebook accounts for the largest share of the most popular activity (social networking) on the most widely used computing devices (smartphones); its various apps account for 30% of mobile internet use by Americans. And it is the sixth-most-valuable public company on Earth, worth some 325 billion.

If you put water on the stove and heat it up, it will at first just get hotter and hotter. You may then conclude that heating water results only in hotter water. But at some point everything changes – the water starts to boil, turning from hot liquid into steam. Automation, driven by technological progress, has been increasing inexorably for the past several decades. Two schools of economic thinking have for many years been engaged in a debate about the potential effects of automation on jobs, employment and human activity: will new technology spawn mass unemployment, as the robots take jobs away from humans? Or will the jobs robots take over release or unveil – or even create – demand for new human jobs?

Understanding the behaviour of heuristic search methods is a challenge. This even holds for simple local search methods such as 2-OPT for the Traveling Salesperson problem. In this paper, we present a general framework that is able to construct a diverse set of instances that are hard or easy for a given search heuristic. Such a diverse set is obtained by using an evolutionary algorithm for constructing hard or easy instances that are diverse with respect to different features of the underlying problem. Examining the constructed instance sets, we show that many combinations of two or three features give a good classification of the TSP instances in terms of whether they are hard to be solved by 2-OPT.

This paper describes the data collection effort that is part of the project Sprekend Nederland (The Netherlands Talking), and discusses its potential use in Automatic Accent Location. We define Automatic Accent Location as the task to describe the accent of a speaker in terms of the location of the speaker and its history. We discuss possible ways of describing accent location, the consequence these have for the task of automatic accent location, and potential evaluation metrics.

It was hard to tell whether hope or fear was the predominant sentiment about the future of artificial intelligence, according to a panel discussing the state of the field at the World Economic Forum in Davos, Switzerland, Wednesday. A.I. systems are rapidly becoming more capable, the panel -- which included Ya-Qin Zhang, president of Chinese search engine company Baidu Inc., and Matthew Grob, the chief technology officer at Qualcomm Inc. -- agreed: they're able to learn from analyzing large data sets and they can increasingly discern human emotions by monitoring facial expressions and natural language. A.I. researchers Andrew Moore, the dean of the School of Computer Science at Carnegie Mellon University, and Stuart Russell, a professor of computer science at the University of California, Berkeley, were also on the panel and concurred that as a result, A.I. is likely to vastly improve human lives in the coming decade. But the researchers and executives voiced concern about possible downsides ranging from economic displacement to computers that escape the ability of humans to control them with potentially dire consequences. Using A.I. to improve search engine results has the potential to transform search from a 1 trillion industry today to a 10 trillion industry, Russell said.

PORTLAND, OREGON – The U.S. military on Thursday christened an experimental self-driving warship designed to hunt for enemy submarines, a major advance in robotic warfare at the core of America's strategy to counter Chinese and Russian naval investments. The 132-foot-long (40-meter-long) unarmed prototype, dubbed Sea Hunter, is the naval equivalent of Google's self-driving car, designed to cruise on the ocean's surface for two or three months at a time -- without a crew or anyone controlling it remotely. That kind of endurance and autonomy could make it a highly efficient submarine stalker at a fraction of the cost of the Navy's manned vessels. "This is an inflection point," Deputy U.S. Defense Secretary Robert Work said in an interview, adding he hoped such ships might find a place in the Western Pacific in as few as five years. "This is the first time we've ever had a totally robotic, trans-oceanic-capable ship."

State and local police began using facial recognition in the early 2000s. The early systems were notoriously unreliable, but today law-enforcement agencies in Chicago, Dallas, West Virginia, and elsewhere have acquired or are actively considering more sophisticated surveillance camera systems. Some of these systems can capture the faces of passersby and identify them in real-time. Sheriff's departments across Florida and Southern California have been outfitted with smartphone or tablet facial recognition systems that can be used to run drivers and pedestrians against mug shot databases. In fact, Florida and several other states enroll every driver's license photo in their facial recognition databases. Now, with the click of a button, many police departments can identify a suspect caught committing a crime on camera, verify the identity of a driver who does not produce a license, or search a state driver's license database for suspected fugitives.