Everywhere you look, now there is some form of artificial intelligence appearing. Whether it's to make a process more efficient or whether it's to keep humans safe and away from danger, robots are creeping in at every chance they get, and this is expected to carry on for quite some years to come. Now, a new center has been launched in Cambridge, England that will look to continue the study of AI more closely along with the implications that come with these marvelous machines. The Centre for the Future of Intelligence (CFI) has one aim: "to work together to ensure that we humans make the best of the opportunities of artificial intelligence as it develops over coming decades." It's a collaboration between four top universities which are Cambridge, Oxford, Imperial, and Berkeley, and has the full backing and support of the Leverhulme Trust.

For those of you unfamiliar with my work, I write frequently about Fourth Industrial Revolution (#4IR) themes such as Tech Innovation, Agtech, and Industrial Disruption. If I had to pick one area I find most exciting, most potentially disruptive and thus the best opportunity for return on investment, it would be A.I. Artificial Intelligence is the brain that makes everything work. It's easy to get lost in #4IR Tech Innovation jargon with complex topics such as: Industrial Revolution says that, ultimately, the innovation leads to disruption, change, and economic unrest… but also leads to a new era of opportunity and invention. Or is it the other way around? The anatomy of infrastructure is not unlike that of the human body, and we all know it's possible to live long, healthy lives.

If you needed any clarification that Artificial Intelligence is on everyone's mind, you need only tune into HBO's new buzzed-about series Westworld. But AI is quickly making its move from the futuristic and fictional to the realm of reality with many practical AI tools already available today. From space, robotics, transportation, healthcare, marketing, music, photography and more, many industries are affected by AI, and we've only just began to see the changes that are yet to come. Since AI is developing at such an astonishing rate, many industries are reaping the rewards of its integration. How much better can you manage your time, tasks and deadlines if each had a personal assistant to help schedule your calendars, tell you what's important and help you become more productive?

LISBON – The Nissan-Renault alliance aims to offer Chinese drivers a new electric car costing just $8,000 within two years, chief executive Carlos Ghosn said Tuesday as he touted an "explosion" in demand amid efforts to offset climate change. The electric auto market as a whole is stepping up a gear thanks to cheaper batteries, government incentives to consumers and better infrastructure for charging vehicles on the go, he said at the Web Summit in Lisbon. "For me, it is a no-brainer: electric cars are going to be a much bigger part of our industry in the future," Ghosn told AFP in an interview. Nissan was a groundbreaker in mass-marketing electric vehicles from 2008 and counts the popular Leaf in its fleet. But that higher-priced model does not compete against cheaper offerings from rival manufacturers such as BYD, Zhidou and SAIC in China, which is now the world's biggest auto market and also one of its worst polluters.

Today, businesses need to be able to predict demand and trends to stay in line with any sudden market changes and economy swings. This is exactly where forecasting tools, powered by Data Science, come into play, enabling organizations to successfully deal with strategic and capacity planning. Smart forecasting techniques can be used to reduce any possible risks and assist in making well-informed decisions. One of our customers, an enterprise from the Middle East, needed to predict their market demand for the upcoming twelve weeks. They required a market forecast to help them set their short-term objectives, such as production strategy, as well as assist in capacity planning and price control.

They are wise-cracking companions, able to communicate in more than six million languages. Others are bent on enslaving or destroying humanity, deeming themselves better, more rational caretakers of the Earth in light of our irrational behaviors. Pilot or garbage man, soldier or slave, hero or villain--robots have played every role imaginable in popular science fiction for nearly a century. In the 21st century, real-life robots inspired by their fictional counterparts are beginning to take starring roles in everyday life. Several companies, Google among them, are testing autonomous cars (unfortunately, there is no indication that they will be able to travel into the past or future anytime soon).

Google cut power usage in its data centers by several percentage points earlier this year by trusting artificially intelligent software derived from 1980s-era Atari video games. And in the years to come, the Internet giant not only could save much more electricity, but also solve far larger problems by taking on a much more complex video game. Research scientists at Google's DeepMind unit announced Friday they are developing a computer program that reads data about Blizzard Entertainment's "StarCraft II" games and learns how to play on its own. The software would have to figure out how to split its attention between micromanagement and long-term strategic decisions. It's that maneuvering that could deliver big breakthroughs.

Do you get what overfitting means in machine learning? If you don't, then you better learn about it if you want to use or leverage machine learning. Because overfitting can ruin the effectiveness of machine learning. I wrote this blog because I found existing explanations of overfitting to be too technical. I hope this one is more consumable by non specialists. Machine learning involves a fairly complex workflow, see Machine Learning Algorithm!

It's now a hired gun for thousands of companies in at least 20 industries. David Kenny took the helm of IBM's Watson Group ibm in February, after Big Blue acquired The Weather Company, where Kenny had served as CEO. In the months since then, the Watson business has grown dramatically, with well over 100,000 developers worldwide now working with more than three dozen Watson application program interfaces (APIs). Fortune Deputy Editor Clifton Leaf caught up with Kenny in mid-October, when IBM Watson's General Manager was in San Francisco, getting ready to open Watson West--the AI system's newest business outpost--and to launch the company's second World of Watson conference, a gathering of its burgeoning ecosystem of partners and users, in Las Vegas on Oct. 24. KENNY: Deep learning is a subset of machine learning, which essentially is a set of algorithms. Deep-learning uses more advanced things like convolutional neural networks, which basically means you can look at things more deeply into more layers. Machine learning could work, for example, when it came to reading text.

Iraq is preparing a remote controlled attack vehicle being which experts say could be used in the fight to retake the city of Mosul from Isis. The Alrobot's arsenal of weaponry includes a heavy machine gun with a wide arc of fire, four on-board cameras, as well as a launcher to fire Russian Katsuya rockets Experts believe the robot is being tested as part of the Iraqi army's effort to retake the northern city of Mosul, which fell to ISIS forces in 2014 and has remained a stronghold for the group The views expressed in the contents above are those of our users and do not necessarily reflect the views of MailOnline. By posting your comment you agree to our house rules.