Abate goes on, "The Future of AI panel was co-chaired by Stanford faculty members Russ Altman, a professor of bioengineering and medicine, and Fei-Fei Li, an associate professor of computer science… [Keynote speaker Megan] Smith touched on how government is using artificial intelligence, machine learning and similar techniques in tasks ranging from planning space missions to forecasting job growth. But given the potential effects of these technologies on culture and the economy, she said government's larger challenge is to bring'humanity's greatest talent' to bear on the development and direction of AI by throwing open the discussion. 'How are we going to make sure we are bringing everyone into this conversation?' Smith asked, previewing an initiative that the White House is expected to formally announce Monday that will offer literally anyone a way to register an opinion or view on this emerging technology."

Editor's Note: Don't miss our upcoming Free Code Friday on July 1st. Carol will give an overview of machine learning with Apache Spark's MLlib, and you'll also learn how MLlib decision trees can be used to predict flight delays. Decision trees are widely used for the machine learning tasks of classification and regression. In this blog post, I'll help you get started using Apache Spark's MLlib machine learning decision trees for classification. In general, machine learning may be broken down into two classes of algorithms: supervised and unsupervised.

Last month's post "5 Machine Learning Projects You Can No Longer Overlook" was a well-received piece on 5 lesser-known machine learning projects in the Python ecosystem, and included deep learning libraries, along with auxiliary support, data cleaning, and automation tools. As such, we thought it may be worth doing a follow-up post, but broadening our scope this time. This post will showcase 5 machine learning projects that you may not yet have heard of. This time, however, the projects will include those from across a number of different ecosystems and programming languages, as opposed to focusing solely on Python tools. You may find that, even if you have no requirement for any of these particular tools, inspecting their broad implementation details or their specific code may help in generating some ideas of your own.

Microsoft CEO Satya Nadella has written an editorial about how humanity can create artificial intelligence that will help people in the future, rather than harm them either directly or indirectly.

Sentiment analysis is already an important component of many brands' social media strategies, but it can often be limited to basic interpretations of whether a conversation is positive, negative or neutral. At the Cannes Lions international advertising festival in June, data visualization technology provider Buzz Radar conducted an experiment that took sentiment analysis further, diving deeper into different types of emotional nuances. Patrick Charlton, director and co-founder of Buzz Radar, spoke to eMarketer's Maria Minsker just before the festival about what the company hoped to learn from the project. Patrick Charlton: Burberry has used our Command Center platform to look at conversations on social media surrounding their campaigns. We pull in every single mention of Burberry from conversations about London Fashion Week, for example, and analyze the sentiment.

As a keen poker player I love the thrill and excitement of playing against my opponents and beating their hand. I recently spent 2 weeks in Las Vegas to play in the World Series of Poker (WSOP) but when I'm not in the casino I'm playing online. What I love about the casino is not just the environment but you know who you are playing, and you certainly know they are real, but when online pokerbots can come in to play, which asks the questions can they be beaten? Quite simply a pokerbot is a computer program designed by an individual to play against opponents online, meaning a game can be played without the person being present (and because of this they are massively frowned upon in the poker world). There are different levels of pokerbots, many bots in smaller online casinos have software issues and can be manipulated and beaten (as long as you spot it is a bot before it wins) however there are stories that emerge, mainly in America, of very strong bots and'bot-rings' that have beaten and "won" a lot of money from top professional poker players.

If robots are going to steal human jobs and otherwise disrupt society, they should at the very least pay taxes. That's the takeaway from a draft report on robotics produced by the European Parliament, which warns that artificial intelligence and increased automation present legal and ethical challenges that could have dire consequences. "Within the space of a few decades [artificial intelligence] could surpass human intellectual capacity in a manner which, if not prepared for, could pose a challenge to humanity's capacity to control its own creation and ... the survival of the species," the draft states. The report offers a series of recommendations to prepare Europe for this advanced breed of robot, which it says now "seem poised to unleash a new industrial revolution." The proposal suggests that robots should have to register with authorities, and says laws should be written to hold machines liable for damage they cause, such as loss of jobs. Contact between humans and robots should be regulated, with a special emphasis "given to human safety, privacy, integrity, dignity and autonomy."

There are few moments in life as galling as seeing a parking ticket slapped onto your car windscreen but there may be hope in the form of a chat bot that has already helped to overturn 160,000 tickets in London and New York in just under two years. The DoNotPay artificial intelligence service, created by a 19-year-old student, is called the "world's first robot lawyer" and uses a step-by-step chat-like system that asks a series of questions to find out the details of the issued ticket and then highlight areas where you can appeal the fine. Browder incorporated all this knowledge into a free-to-use website using an artificial intelligent system that offers multiple options to best describe why users should not be issued a ticket. The DoNotPay robot lawyer is only available for use in London and New York at the moment but it is reportedly being prepared for Seattle.

There are few moments in life as galling as seeing a parking ticket slapped onto your car windscreen but there may be hope in the form of a chat bot that has already helped to overturn 160,000 tickets in London and New York in just under two years. The DoNotPay artificial intelligence service, created by a 19-year-old student, is called the "world's first robot lawyer" and uses a step-by-step chat-like system that asks a series of questions to find out the details of the issued ticket and then highlight areas where you can appeal the fine. Since it went live in just under two years it has taken on 250,000 cases and managed to overturn 160,000 of them – giving it a respectable 64% success rate and saving ticketed road users a total of 2.9m. Its creator, London-born Stanford University student Joshua Browder, was inspired to develop DoNotPay after he received 30 parking tickets in London and decided to study all the legal grounds to fight fines. He revealed that he accessed thousands of documents from the Freedom of Information Act and found that appealing a parking ticket was a rather systematic, by-the-numbers process.