Apple just released iOS 10.1, an update that has the headline feature of bringing the all-important Portrait Mode to the iPhone 7 Plus. But it also includes security fixes that stop iPhones from being easily hacked into, and so all Apple users have been urged to update as soon as they can. As well as iPhones, iPads, Macs, Apple Watches and other products have received updates that keep them safe from similar attacks. Amy Rimmer, Research Engineer at Jaguar Land Rover, demonstrates the car manufacturer's Advanced Highway Assist in a Range Rover, which drives the vehicle, overtakes and can detect vehicles in the blind spot, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire Chris Burbridge, Autonomous Driving Software Engineer for Tata Motors European Technical Centre, demonstrates the car manufacturer's GLOSA V2X functionality, which is connected to the traffic lights and shares information with the driver, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire In its facilities, JAXA develop satellites and analyse their observation data, train astronauts for utilization in the Japanese Experiment Module'Kibo' of the International Space Station (ISS) and develop launch vehicles The robot developed by Seed Solutions sings and dances to the music during the Japan Robot Week 2016 at Tokyo Big Sight. Aurora Flight Sciences' technicians work on an Aircrew Labor In-Cockpit Automantion System (ALIAS) device in the firm's Centaur aircraft at Manassas Airport in Manassas, Va.

I've been experimenting with OpenAI gym recently, and one of the simplest environments is CartPole. The problem consists of balancing a pole connected with one joint on top of a moving cart. The only actions are to add a force of -1 or 1 to the cart, pushing it left or right. In this post, I will be going over some of the methods described in the CartPole request for research, including implementations and some intuition behind how they work. In CartPole's environment, there are four observations at any given state, representing information such as the angle of the pole and the position of the cart.

Those interested in legal services and technology need to keep their eye on developments in artificial intelligence (AI). In the course of preparing a national US strategy, a committee of the National Science and Technology Council has drafted a report, Preparing for the Future of Artificial Intelligence, which is worth reading as a crib to the latest issues. This is much better written than you might expect from a committee (or, indeed, machine) authorship. The report eschews fanciful speculation about the future and is largely concerned with what it terms'narrow AI' 'which addresses specific application areas such as strategic games, language translation, self-driving vehicles and imagine recognition'. In particular, it looks at'machine learning' which it distinguishes from older'expert system' approaches. Machine learning is concerned to analyse bodies of data and'derive a rule or procedure that explains the data or can predict future data'.

NEW YORK: Artificial intelligence programs have beaten chess masters and TV quiz show champions. Two exchange operators have announced plans to launch artificial intelligence tools for market surveillance in the coming months and officials at a Wall Street regulator tell Reuters they are not far behind. Executives are hoping computers with humanoid wit can help mere mortals catch misbehavior more quickly. The software could, for instance, scrub chat-room messages to detect dubious bragging or back slapping around the time of a big trade. It could also more quickly unravel complex issues, like "layering," where orders are rapidly sent to exchanges and then canceled to artificially move a stock price.

Artificial intelligence (AI) is surging in ad/mar tech land. Or resurging, depending on how good your memory is. IBM continues to push Watson, and, in the run-up to their respective conferences, Salesforce and Oracle talked up their own AI initiatives. Also, Google, Facebook, IBM, Microsoft and Amazon banded together to create best practices around AI technologies. And startups like Adgorithms, Boomtrain, Cognitiv, Kenshoo, Lattice Engines, Rocket Fuel and numerous others continue to extol the virtues of their AI-powered applications.

Logitech says it will release a new Alexa skill this week that renders its Harmony Hub-based universal remote controls (e.g., the Harmony Elite or the Harmony Companion) compatible with Amazon's Alexa digital assistant. So if you own an Amazon Echo and one of these Harmony remotes, you'll soon be able to add your entire entertainment center to the list of devices you can control with your voice. This Alexa skill wasn't available for to test at the time of this writing, but Logitech's press release indicated that Harmony Hub users would be able to choose from 270,000 devices to include in voice-activated Harmony Activities, as Logitech refers to its control scripts. In addition to TVs, set-top boxes, and A/V receivers, Logitech's Hub can also control many smart-home devices, such as smart light bulbs, motorized window shades, and even smart entry locks. Harmony Activities are essentially scripts that you define to control the devices you've previously enrolled into the remote's app.

Machine learning and data science are shaking up the scientific and commercial worlds. But can they say anything new about customer analytics? Actually the potential is huge, and most companies are only just beginning to grasp at it. In my role I have been fortunate to see how a wide range of companies are working to incorporate analytics into their decision making. The truth is that many still struggle with the basics: getting data out of silos, getting the right people in with the right skills, knowing what technology to adopt and getting to an evidence led culture.

Should your friends see this too? Would you like to see more like this? Follow @scientistolizer Thailand Developer Day 2016 Machine learning and Data Science: Data Into Intelligent Action (English) by Dr Graham Williams, Director of Data Science, Microsoft Data Scientists live and breathe data. We choose the best tools for that task from a vast array of ever changing tools. We turn data into information, information into discovered knowledge, and through wisdom the discovered knowledge is turned into intelligent action. Our tool suites include many open source software products.

An artificial intelligence algorithm has predicted the outcome of human rights trials with 79 percent accuracy, according to a study published today in PeerJ Computer Science. Developed by researchers from the University College London (UCL), the University of Sheffield, and the University of Pennsylvania, the system is the first of its kind trained solely on case text from a major international court, the European Court of Human Rights (ECtHR). "Our motivation was twofold," co-author Vasileios Lampos of UCL Computer Science told Digital Trends. "It first starts with scientific curiosity." In other words, would it even be possible to create such an AI judge?

When was the last time you experienced something unique? Something you've never experienced before? Almost all humans live a routine. We don't do anything exceptionally unique on a day to day basis. I don't mean to make our lives seem mundane or unenthusiastic.