Living in this technology-driven world, it is not surprising for every second person to fantasize the buzzword'artificial intelligence (AI)'. Though the concept of AI is much deeper than you would have imagined in the wildest of your dreams, chatbot can be considered as just a teaser of Artificial Intelligence theory. Chatbot have been in existence since long, however, the trend picked up pace off recently in the last quarter of 2016. Mobile app development companies across the world have reported a drastic rise in the demand of chatbot from clients. Simply developing a chatbot for your app is not enough!

A form of artificial intelligence, it allows computers to learn from examples rather than having to follow step-by-step instructions. The Royal Society believes it will have an increasing impact on people's lives and is calling for more research, to ensure the UK makes the most of opportunities. Machine learning is already powering systems from the seemingly mundane to the life-changing. Here are just a few examples. Using spoken commands to ask your phone to carry out a search, or make a call, relies on technology supported by machine learning.

Apart from fears of mass unemployment, accidents with machinery, restrictions on freedom, increased economic inequality and a devalued human experience, the public are broadly optimistic about the arrival of artificial intelligence, according to one of the first surveys of British opinions about the technology. Research by the polling firm Ipsos Mori found nearly a third of people believe the risks of "machine learning" outweigh the benefits, while 36% believe the risks and benefits are balanced. Machine learning is technology that underpins internet searches, recommendations on Amazon and Netflix, and voice recognition on smartphones. The findings provide a snapshot of UK views on what some researchers regard as the early stages of a major revolution that is poised to affect almost every aspect of life. The research suggests that – while people are generally positive about the technology for improving medical treatments, guiding driverless cars and personalising education – substantial concerns remain.

In the past years, a collection of hardware, software and online service have managed to bring changes and reforms to classrooms and teaching methods. But the true disruption of education is yet to arrive. Artificial Intelligence has proven its role as a game changing factor in an increasing number of fields, causing transformations unimaginable in the past. It's now showing glimmers of how it might forever change the learning process, one of the oldest skills that mankind has mastered. We've teamed up with Product Hunt to offer you the chance to win an all expense paid trip to TNW Conference 2017!

A consortium of British companies has unveiled a plan to test driverless cars on UK roads and motorways in 2019. The Driven group also plans to try out a fleet of autonomous vehicles between London and Oxford.

Apple has developed an "Automated System" for self-driving cars, and the company is planning to put staffers through a training program to operate the vehicles ahead of testing on California roads.

Daniel (Danny) Bobrow passed away peacefully at home with his wife Toni and daughters Kimberly and Deborah in Palo Alto, California, on March 20, 2017, having bravely fought a five-month battle with cancer. Danny was born to Ruth Gureasko Bobrow and Jacob Bobrow on November 29, 1935, in the Bronx, New York City. A gifted student, he attended Bronx High School of Science and went on to earn a BS from Rensselaer Polytechnic Institute, an MS from Harvard, and a PhD in Mathematics from Massachusetts Institute of Technology under the supervision of Marvin Minsky. His was one of the first MIT doctoral theses in Artificial Intelligence. A pioneer with a long and distinguished research career in Artificial Intelligence as a Research Fellow in the System Sciences Laboratory of the Palo Alto Research Center (PARC), he is remembered as a mentor, friend, and role model for many.

If you pick up your iPhone and ask Apple's personal assistant software the age of Mets third baseman David Wright, you get a direct answer: Wright, born in 1982, is 34 years old. You also get some ancillary information: A photo, his height, a nickname that no one uses. Ask Google's artificially intelligent question-answering system, same deal. But until Monday evening if you were to ask the same question of Alexa, the Amazon system that powers the company's Echo devices, you got a much different response. David Wright, according to Alexa/Echo, is 234 years old -- by far the oldest person on the Mets roster or in professional baseball or in the recorded history of the human race.

Dave Mihelcic is the head of federal strategy and technology at Juniper Networks. If the recent spate of alleged Russian cyberattacks has taught us anything, security breaches can happen so quickly and stealthily, the damage will be done before anyone even realizes there was a hack. In fact, as malicious actors become more insidious, federal network security managers are finding the reaction time between identifying and mitigating potential threats has gone from minutes to milliseconds. Factor in the volume and complexity of the threats, and it becomes evident the challenge has grown well beyond what can be managed through manual intervention. To successfully combat these challenges, cyber operators should consider incorporating machine-learning capabilities into their toolkit.

An Uber Technologies Inc. executive who worked on the ride-hailing company's self-driving vehicle program has left the firm. He is the third executive to exit Uber in two months. The San Francisco company confirmed the departure of Sherif Marakby, Uber's vice president of global vehicle programs, who joined the company a year ago and left Monday. Uber did not say why he left. The company said in a statement that Marakby's "deep experience and knowledge of the automotive industry" helped Uber "tremendously in working to make self-driving cars a reality."