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. Wright may be injured a lot, but that's only because he's older than the Constitution of the United States.

The cyberwarfare landscape is changing -- here's how to prepare The cyberwarfare landscape is changing -- here's how to prepare The cyberwarfare landscape is changing -- here's how to prepare Get the latest federal technology news delivered to your inbox. Machine learning makes life much more manageable for network security operators. 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.

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."

Machine Learning (ML) is an exciting new subfield of computer science. With origins in pattern recognition, today's hardware and software advances have made ML a new tool for many types of organizations I order to remain competitive. With today's hardware, massive amounts of data can be fed into a system, which can then use algorithms to determine possible outcomes of a task, and store that information for further use. As the amount of data that is ingested increases, the accuracy of the outcomes can improve. Similar to simulations that can give more accurate results with faster processing, more memory and improved algorithms, so can ML applications.

The latest technology to catch the fancy of a lot of businesses are chatbots--self-learning computer programs designed to have intelligent conversations with humans over the Internet. Several announcements were made recently by leading Indian banks and insurance companies about deploying chatbots. Fullerton India Credit Company Ltd. launched ASHA, a loan acquisition and fulfillment chatbot for Facebook Messenger that customers can chat with to apply, structure, submit documentation, and receive loan approvals, without downloading any other application. YES Bank launched an AI powered chatbot called mPOWER for FB Messenger for instant loan offering. HDFC Life Insurance launched an AI based chatbot that takes customers through a 60 seconds quiz and then computes their Insurance Quotient for the company's various insurance products, like tax planning, retirement, health, etc. Chatbots can be highly beneficial for both businesses and customers.