April 24 can't come soon enough for Game of Thrones fans eagerly awaiting the premiere of the hit show's sixth season. Naturally, most of us have been speculating wildly about the fate of our favorite characters for the past year, but now there's a clever app to help you withthat. The project, A Song of Ice and Data, was developed by a group of students of a JavaScript course at the Technical University of Munich. Some of the biggest names in tech are coming to TNW Conference in Amsterdam this May. It looks at 24 features of each character, the list of which includes attributes like their age, the House they belong to, whether they're married and how popular they are based on how many wiki pages link to them.

I don't know if you're in the market for a new car, of course, but chances are that soon, possibly the next time you buy a vehicle, it will have so much processing power and artificial intelligence that you won't won't be able to keep up. Because the smarter cars get, the safer we become. It's estimated that we could reduce traffic fatalities by 90% -- or 30,000 lives every year -- by 2050, once cars start driving themselves. To get there, tech companies are creating hardware and software that make semi-autonomous and fully autonomous cars a reality.NVIDIA andAlphabet's Google are two leaders in the car tech space -- and they're just getting started. Advanced hardware NVIDIA released two huge steps forward in automotive technology recently: its Drive PX 2 system and the DGX-1 supercomputer.

It's a good time to be Alphabet Inc. (GOOG), the parent company of Google. The holding company that owns Google, YouTube and Android -- as well as so-called moonshots like self-driving cars, the home-networking division Nest and Google Fiber -- is expected to turn in healthy first-quarter results on Thursday, driven by its dominant position in online search and display advertising. On Wednesday, the European Commission is expected to formally charge Google for favoring its own apps and services on its Android mobile operating system, which powers more than 80 percent of the world's smartphones. That will be the latest in a decade of entanglements with regulators on both sides of the Atlantic; Google also got some bad press in Britain earlier this year for having paid just 185 million in taxes over the past decade. Also confronting Google -- and the rest of the tech industry -- is how to manage government and law enforcement requests for information.

Machine learning is a subset of the field of computer science known as artificial intelligence (AI), which seeks to simulate the workings of a human brain. Machine learning is a form of programming, where the software improves its response after learning from previous responses, rather than following only scripted responses. Nascent forms of machine learning first emerged some 20 years ago. The most modern form is "deep learning", which tries to model the neural networks of the human brain by identifying millions of patterns in large datasets to predict the next outcome. It plays an important role in big data analytics and is currently the rage in machine-learning research, given the accessibility of big data and computational power.

Malware has proven increasingly difficult to detect via signature or heuristic-based methods, which means most Antivirus (AV) programs are woefully ineffective against mutating malware, and especially ineffective against APT attacks (Advanced Persistent Threats). Typical malware consists of about 10,000 lines of code. Five to six years ago marked the beginning of the use of machine learning to solve non-linear problems such as facial recognition or understanding malware, and what features one needs to extract to uniquely identify such programs. Other techniques, such as sandboxing and machine-based techniques, are not as fast nor as accurate as Deep Learning. Deep Instinct, founded by Guy Caspi and Eli David, Israeli Defense Force Cybersecurity veterans, applies artificial intelligence Deep Learning algorithms to detect structures and program functions that are indicative of malware.

Over the last several decades, the digital revolution has changed nearly every aspect of our lives. The pace of progress in computers has been accelerating, and today, computers and networks are in nearly every industry and home across the world. Many observers first noticed this acceleration with the advent of modern microchips, but as Ray Kurzweil wrote in his book The Singularity Is Near, we can find a number of eerily similar trends in other areas too. According to Kurzweil's law of accelerating returns, technological progress is moving ahead at an exponential rate, especially in information technologies. This means today's best tools will help us build even better tools tomorrow, fueling this acceleration.

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), and a machine-learning startup, PatternEx, have developed a virtual artificial intelligence analyst that can predict 85% of cyber-attacks using input from humans. As a way to address some of the challenges security analysts face, researchers from CSAIL and PatternEx presented a paper on a new artificial intelligence platform called AI2 They found that their system is able to detect cyberattacks more frequently because it is continuously incorporating input from human analysts. There are several problems that currently exist in today's state of cybersecurity. One major problem includes the lack of qualified security analysts in the market. It is critical to increase analyst efficiency, but existing tools generate too many false positives that create distrust and need to be investigated by humans in the end, said Ignacio Arnaldo Lucas, one of the researchers at PatternEx.

High performance DAQMAG2A Rugged Display Computer: High performance DAQMAG2A Rugged Display Computer from GE's Intelligent Platforms business are designed to minimize cost, risk and time-to-market for prime contractors, systems integrators and OEMs developing sophisticated video capture, processing and transmission applications with multiple inputs and outputs, it is qualified to the DO-160G Environmental Conditions and Test Procedures for Airborne Equipment standard. The DAQMAG2A Line Replaceable Unit (LRU) has already been successfully deployed by AgustaWestland on the AW189 and AW101 helicopters and by FLIR Systems Inc.GE's Intelligent Platforms business (NYSE: GE) is headquartered in Charlottesville, VA and part of GE Energy Management. The company's work in the military/aerospace segment, headquartered in Huntsville, AL, and Towcester, England, provides one of the industry's broadest ranges of high performance, rugged, SWaP-optimized embedded computing platforms. Backed by programs that provide responsive customer support and minimize long term cost of ownership for multi-year programs, GE's solutions are designed to help customers minimize program risk and cost, and to speed time-to-market. The high TRL (Technology Readiness Level 9) of the DAQMAG2A means systems integrators can select it with confidence to concentrate on solving more important challenges such as integration into the higher level system, application development/port and so on.

Almost 30 years ago I stood on the steps of a converted Armenian dance hall in Cambridge, Massachusetts, about to start my first day at an MIT startup called Gold Hill Computers. They were the first company to develop software that enabled companies to build expert systems applications on a PC platform. The focus in the 1980s for AI was on industries such as aerospace and defense, computer-aided design and engineering, software engineering, financial services, manufacturing, medicine and science. Never at that point in time did I consider that algorithms could be applied to my own profession in communications. And yet that is just what has happened.

A recent article by a Foreign-Exchange Journalist suggests the'Skynet' of Finance is not too far away. In particular, Transfer/Payments business expect to lose 28% of their business to FinTech in the next 5 years, and Banks expect to lose 24% of their business. The silver lining to this takeover could however be, the article points out, the greater emphasis on the'human touch' in key customer interfacing areas. For example, a human hand at the wheel to prevent another'flash crash' or a human interpreter of the decisions of an Artificial Intelligence made lending / investment decision. Whatever happens, we are likely to see more automation, lower costs for the customer, and smarter decision making – albeit in the near term.