Your commute could get a lot shorter without you even knowing thanks to traffic lights with artificial intelligence brains inside. Over the past couple years, a startup named Surtrac has been mentally upgrading traffic lights in Pittsburgh with artificial intelligence. These lights collect data on the amount of traffic from cameras and radar signals, and the network of lights coordinates to ensure that all the traffic passes through intersections as fast as possible. The AI system began with nine intersections in Pittsburgh's East Liberty neighborhood in 2012 and has quietly expanded to 50 intersections. The startup plans to implement their network across the whole city.

Artificial intelligence, aka AI, is features with IBM's Watson: computer science, machine learning, environment and decision taking all-in-one!

Stephen Hawking has been provided his visionaries about AI(Artificial Intelligence). Professor Stephen Hawking has warned that the creation of powerful artificial intelligence will be "either the best, or the worst thing, ever to happen to humanity", and praised the creation of an academic institute dedicated to researching the future of intelligence as "crucial to the future of our civilisation and our species". Hawking was speaking at the opening of the Leverhulme Centre for the Future of Intelligence (LCFI) at Cambridge University, a multi-disciplinary institute that will attempt to tackle some of the open-ended questions raised by the rapid pace of development in AI research. "We spend a great deal of time studying history," Hawking said, "which, let's face it, is mostly the history of stupidity. So it's a welcome change that people are studying instead the future of intelligence."

The Associated Press and Graphiq, which specializes in using artificial intelligence to rapidly create interactive data-driven infographics, announced a new partnership Tuesday. The partnership, whose financials were not disclosed, will make it easier for the AP to provide data infographics for its stories while exposing Graphiq to a worldwide user audience. "Today we're reaching hundreds of millions of readers a month, but the AP reaches half the world's population every day," Alex Rosenberg, Graphiq vice president, told Inc. Rosenberg noted that Graphiq will embed some of its staffers in AP newsrooms to be readily available throughout the news outlet's reporting process. The AP will also make Graphiq's entire visualization catalog--the company creates thousands of new visualizations each week--readily available to news wires' countless clients.

You've probably seen this scenario play out on a police procedural show on television: A crime has been committed and officers are tasked with looking through security footage to see if any of it was caught on camera. On TV, they can cut away to commercial and have the answer back as soon as they return. In real life, however, analyzing huge quantities of video data is a task that's rarely accomplished effectively by human operators. There's just too much data to sift through, and the cost for the man hours required is too high. But that problem is being overcome with machine learning and video analytics.

Harold Thomas Martin may have stolen NSA classified data five months after Edward Snowden left his contractor position with the same firm. What happened during 2013 will come out as the prosecution moves forward and the data is exposed online. Many articles cover the known details to date, however, what about the future? Whether its stolen emails or classified data, the compromise and misuse of identity is at the core of modern attacks. While zero-day exploits provide access they are rare, expensive, and once exposed, they commoditize quickly.

As algorithms become entrenched into society, the debate about their effects rages on. In essence, algorithms are sequences of instructions used to solve problems and perform functions in computer programming. As mathematical expressions, algorithms existed long before modern computers. While they vary in application, all algorithms have three things in common: clearly-defined beginning and ending points, discrete sets of "steps," and design meant to address a specific type of problem. On the one hand, algorithms play the role of prime suspect -- responsible for the recent UK pound's Brexit-induced flash crash, used for political and informational manipulation on social networks, and part of what Harvard Professor Shoshanna Zuboff calls "surveillance capitalism".

Explaining the difference between disruption and innovation can be tricky. Both disruption and innovation happen when something new is introduced to the market. However, disruption tends to be more violent, radically altering how we think and behave. On the other hand, innovation can be more iterative and incremental in nature. According to Clayton Christensen of Harvard Business School, "disruption displaces an existing market, industry, or technology and produces something new and more efficient and worthwhile. It is at once destructive and creative."

With the development of the big three technologies--Internet of Things (IoT), the cloud and big data--too much information is a reality today. Working with this information to identify or predict a problem and to decide on a solution can be very difficult, but machine learning will help. Machine learning and artificial intelligence (AI) are developing along with the big three technologies, and machine learning is likely to be a big hit on the factory floor. It will help end users, machine builders and integrators to solve problems from the enterprise level down to the machine and process levels. The IoT solutions are great at getting connected and producing data, but without machine learning or other automated learning techniques, these solutions are limited as the huge amount of data drowns its effective use.

So many works of film and fiction are hooked on the rise of artificial intelligence (AI) and what it might mean for humanity. They are often apocalyptic tales – Blade Runner, Alien, Terminator – where mankind comes off badly. But now that AI is being spearheaded by internet giants such as Google, Microsoft and Amazon, and our daily lives are increasingly affected by AI systems – chat bots, purchase prediction, news generation – what will really happen? In 2015 the UK media widely picked up on American media organisation NPR's calculator that could predict which jobs are susceptible to computerisation. The calculator, using research by the University of Oxford, said accountants have a 95% chance of losing their jobs as machines take over the number crunching and data analysis.