For more than 30 years, Gibbs has advised on and developed product and service marketing for many businesses and he has consulted, lectured, and authored numerous articles and books. So the UK has just given itself a national headache. Whether you think the Brexit was the right decision or a dangerous and unmitigated screw-up (as I do), the consequences of the referendum will be non-trivial and take years to complete. But the mechanics of the UK exiting the European Union aside, the question of how people now feel about the Brexit is interesting. Are they awash in jubilation or has buyer's remorse set in?

Pinterest, the startup whose app lets people pin photos and other content to boards and even buy things shown in pins, today announced that the buy buttons that first appeared on the app are now coming to the web version. The startup is also adding a shopping bag that will follow you across devices. Pinterest introduced buyable pins last year, and today Pinterest president Tim Kendall demonstrated the updates for reporters at a briefing at Pinterest's San Francisco headquarters. The bag is a modern implementation of a shopping cart -- no longer will Pinterest exclusively be letting its partners handle purchasing. There's even a new Pinterest Shop, with sections for Top Shops from vendors, Pinterest commerce product marketer Amy Vener wrote in a blog post.

The Daily Roundup is our comprehensive coverage of the VR industry wrapped up into one daily email, delivered directly to your inbox. Machine Learning has the potential to revolutionize so many different aspects of our lives, and it's starting to enter into game development with IBM's Watson. For instance, developers could integrate cloud-based AI services into their game to dynamically change the game design progression curve based upon a user's behavior and performance. If the player is zipping through a series of easy puzzles with no problems, then Watson could detect that and quickly move the player to advanced levels in order to keep the game challenging and interesting for them. I was able to get a sampling of how a number of different innovative game designers have started to integrate machine learning resources last week at an Intel Buzz Workshop presentation by IBM's Interactive Media CTO George Dolbier.

Anki on Monday introduced Cozmo, a little robot powered by an advanced artificial intelligence. Cozmo promises to be far more interactive than any toy robot that has been released to date. Although the multidisciplinary team of roboticists, animators and game developers who designed Cozmo had play in mind, they noted that the combination of technology from toys, videogames and robotics represents a major leap forward. Anki's three creators all got their start at Carnegie Mellon's Robotic Institute. Cozmo, which can nestle in the palm of your hand, has a "brain" -- technically its CPU -- that can process more data per second than all the Mars Rovers combined, his makers said.

As a child, growing up with the 1970's and 80's episodes of the BBC TV series, the only way I could be convinced to watch the Saturday tea-time showings of Dr Who was by robbing the family dog of its worn old blanket and sitting with it over my head, peering at the TV (with its'remote' control attached to the TV unit on a cable) through a chewed hole. It was my way of convincing my 8-year old myself that I was safe and that it wasn't all real. And yet, even stripping away the blanket and upgrading the TV (and remote control) tech quite a bit, and replacing the Daleks with for example, Arnie's Terminator, the Matrix's Machines, Ex Machina's Ava (or even the comedy Fembots in Austin Powers), man's age-old fear of the machine and relentless need to fight, overpower and destroy it hasn't really changed that much … even if some of the methods have. From the industrial revolution onwards, our relationship with machines and technology of any variety has always been'love/hate'. Even the fact that films like Wall-E, Big Hero and the Iron Giant, and characters like The Hitchhiker's' bulbous Marvin and Star Wars' R2-D2, C-3PO and more recently, BB-9, have such a fond film-following stems in part from our need to'humanise' robots and make them less scary.

Artificial intelligence dealmaking has exploded recently, leaping to a new quarterly record of over 140 deals in Q1'16. Corporates and their venture capital groups are among the most active investors in this category (tech corporates have also been active acquirers in the category).

Rao goes on, "The production release of fully autonomous cars is probably at least five years away still, as these machines are not nearly safe enough for widespread consumer use. Google's self-driving cars still make mistakes, like getting confused by cyclists on fixed-gear bikes at stop signs. Tesla's Autopilot has run into trouble when driving on local streets instead of highways. In fact, there are an unlimited number of such corner cases that autonomous vehicles must respond to, and many still need to be discovered and factored in. Only when a sufficient number of scenarios have been addressed will autonomous cars be considered'safe enough.' As Tesla recently blogged: 'Getting [an autonomous car] to be 99% correct is relatively easy, but getting it to be 99.9999% Making mistakes at 70 mph would be highly problematic'."

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.