Technological change has accelerated in the past few decades. The digital revolution has significantly changed manufacturing processes, and the ways in which people work, consume and live. Machines powered by computer programs can be designed to plan, reason, present knowledge and learn human responses. Such machines are called intelligent machines, and the intelligence they possess is known as artificial intelligence or AI. During the industrial revolution of the 19th century, machines replaced skilled weavers in the textile industry.

Artificial intelligence is a tool that allows technology to go a step further. Throughout the history of Artificial Intelligence, there have been several subfields developed as methods for problem solving. One of them is Deep Learning. Today we will be delving into TensorFlow. TensorFlow is an open source python library that uses deep learning and graph computation.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

SAN FRANCISCO, CA - MAY 28: Google senior vice president of product Sundar Pichai delivers the keynote address during the 2015 Google I/O conference on May 28, 2015 in San Francisco, California. Have you wondered about a world run by AI (Artificial Intelligence)? A world where everything is possible with just a click of a button? According to a new report, Google is gearing for a future where you will no longer care about your devices because everything will be about AI. In the annual shareholder letter by Google CEO Sundar Pichai, he revealed that they have been building the best AI team and tool in the past years.

No one is surprised to hear that Michael Jordan is at the top of his list. A recent study has deemed him to be the most important player in his chosen field... Okay, before you wonder if you went to the wrong site, you didn't. He is currently the Pehong Chen Distinguished Professor at the University of California, Berkeley. So what list are we talking about and how did he get to the top? Well, for those of you that have dipped into academics as a career, you already know that your reputation is established by the connections that are expressed in your published work.

During the last couple of weeks, I spent some time in San Francisco and Napa Valley. Next week, I will revert to the Napa Valley trip, but this Monday, I will focus on the visit to the world's technology centre and the start up environment there. Now, clearly it is a relatively new focus area for me, as you all know and therefore, I am still easily impressed. But, boy, when you are used to the toxic and money-starved startup environment in Europe, and you then experience the amazing energy and huge money floating around in Silicon Valley, it is really hard not to be impressed. Or rather, it is hard not to reconsider your priorities, and this is exactly what I intend to do.

I've written a few times recently about a number of projects that are using drone technology to monitor vast environments. As you can perhaps imagine, with such endeavors, there is a huge amount of data generated, and while it presents rich pickings from a scientific perspective, nonetheless raises challenges about how that data can be managed. A recent study tested the role automation could play in both easing the burden on research teams and making data analysis more effective. The paper revealed that when teams are looking for optimal speed and accuracy that an approach that combines both machine and human can be the best. The researchers used the analysis of aerial images taken by camera drones in the Kuzikus wildlife reserve as their testing ground. The drones were used to count the wildlife in the park, and generated a huge amount of images over the course of the study.

AILA, or Artificial Intelligence Lightweight Android, prepares to press switches on a panel it recognizes during a demonstration at the German Research Center for Artificial Intelligence GmbH (Deutsches Forschungszentrum fuer Kuenstliche Intelligenz GmbH) stand at the 2013 CeBIT technology trade fair on March 5, 2013 in Hanover, Germany. Artificial intelligence (AI) in fictional films is a thing of the past. In fact, the ever-evolving field of AI has become ubiquitous, making big strides in technological innovations. But as artificial intelligence revolutionizes healthcare, education, businesses and becomes a "meta-solution" to the world's biggest problems, its ubiquity spawns one major question: Will future AI wipe out humanity? Artificial intelligence has a more useful presence in humanity today.

From safety issues to technical problems, there are many issues that need to be addressed before self-driving cars can hit the roads. But one, possibly unexpected, consequence of the autonomous cars is that they could give sex lives a boost. A Canadian expert believes people will have'a lot more sex in cars', once a computer takes over and this could be dangerous as the'drivers' won't be paying attention to the road. From safety issues to technical problems, there are many issues that need to be addressed before self-driving cars can hit the roads. Now a Canadian expert believes people will have'a lot more sex in cars', once a computer takes over and this could be dangerous as the'drivers' won't be paying attention to the road The claims were made by Barrie Kirk from the Canadian Automated Vehicles Centre of Excellence.

That's the backlog of pre-orders that Tesla Motors tallied up in the days after announcing its latest car, the Tesla Model 3. The vehicle is the electric car maker's third major model and its most affordable to date. With a base price of 35,000 it is comparable if not less than what many mid-sized sedans sell for today. None, of course, boast the unique conveniences or distinct powertrain that the Tesla does, which is why the car is expected to have a transformative impact on the industry. If early results are any indication, Tesla is likely to exceed the predictions of many car experts. In the first seven days after the Model 3 was unveiled in April 2016, Tesla received orders for an astounding 325,000 cars. Half of the orders for the new Model 3 poured in in the first 24 hours after the car was announced.