Martin Legowiecki is the creative technology director at Deutsch. Interaction with the world around us should be as easy as walking into your favorite bar and getting your favorite drink in hand before your butt hits the bar stool. The bartender knows you, knows exactly what drink you like and knows you just walked through the door. Advances in AI help make new human-to-machine and machine-to-human interaction possible. Traditional interfaces get simplified, abstracted, hidden -- they become ambient, part of everything.

It could be a couple breaking up on the sidewalk outside your apartment window, or on a bench in the park. "This mission is too important for me to allow you to jeopardize it," the man explains, coldly. It feels like something you shouldn't be listening to, a private conversation between two individuals at their most raw and exposed. "Are these feelings even real?" the woman asks. "Or are they just programming?" It's that uncertainty around the realness of feelings that drives this mashup by Tillmann Ohm, who pulled original lines delivered by Samantha and HAL, the body-less, voice-based learning machines from Spike Jonze's Her (2013) and Stanley Kubrick's 2001: A Space Odyssey (1968), respectively.

Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It's incredible, but it can also be overwhelming. That's why we created This Week in Machine Learning! Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.

This story was delivered to BI Intelligence Apps and Platforms Briefing subscribers. To learn more and subscribe, please click here. Bot creation platform API.AI announced last week its launch of one-click integrations, which enable developers to more easily convert bots for use on chat platforms like Facebook Messenger, Slack, and Kik. With this capability, bots on different platforms can "share knowledge" with each other via machine learning, thereby cutting down on developer costs and time spent on building and maintaining these bots. For context, platforms such as Messenger and Slack have different natural language processing (NLP) platforms.

Machine learning has had fruitful applications in finance well before the advent of mobile banking apps, proficient chat bots, or search engines. Given high volume, accurate historical records, and quantitative nature of the finance world, few industries are better suited for artificial intelligence. There are more uses cases of machine learning in finance than ever before, a trend perpetuated by more accessible computing power and more accessible machine learning tools (such as Google's Tensorflow). Today, machine learning has come to play an integral role in many phases of the financial ecosystem, from approving loans, to managing assets, to assessing risks. Yet, few technically-savvy professionals have an accurate view of just how many ways machine learning finds it's way into their daily financial lives.

Back before there were popular toastsharing apps like "Crusti" and hook-up sites for bakers like "Hotbred," people used to have machines in their kitchens that made bread into toast. It fulfilled the function of an appliance, which was to make some aspect of life easier. No more people standing over slices of bread with a blowtorch; this contraption did it for us. Presumably, millions of person-hours were saved by letting the toaster do this crucial work.

With Google DeepMind's recent success in mastering the game of Go, Tesla's advances in autonomous driving capabilities, and voice recognition systems like Amazon's Alexa taking off, interest in AI and machine learning have reached an all-time high. Those living in the AI world in the 1980s remember what has been referred to as an "AI winter"--a time when the inflated expectations resulted in a "crash," and funding began to dry up. While it's unlikely that the current enthusiasm in AI will wane, some worry that huge attention, and expectations, about AI could have negative side effects. Some also worry about how AI is equated with machine learning--or even, more specifically, deep learning, which is a narrow subset of AI. So, what happened in the '80s?

You certainly wouldn't know it from a reading of the CBOE S&P500 Volatility Index (CBOE:VIX), which printed a low of 11.44 on Friday, but there is a great deal of uncertainty about the prospects for the market as we move further into the third quarter, traditionally the most challenging period of the year. Reasons for concern are not hard to fathom, with the Fed on hold and poised to start raising rates, despite anemic growth in the economy; gloom over the "earnings recession"; and an abundance of political risk factors in play, not least of which is the upcoming presidential election. At times like these investors need a little encouragement to stay the course - and where better to look for it than in the history books. More specifically, the question is whether the past has anything to teach us about the prospects for the market, going forward. Academic theory says no; but Wall Street traders controlling trillions of dollars of investments believe that, on the contrary, history contains valuable information that can be helpful in predicting the likely future outcome for the market. There are several difficulties in making historical comparisons.

Moviegoers have been feasting on Seth Rogen and Evan Goldberg's latest film, Sausage Party, at the box office, but the duo is busy looking ahead to new projects. They now have plans delve into an artificial intelligence-filled future with Silicon Valley writer and producer Sonny Lee, according to The Hollywood Reporter. FX has given a pilot order to Singularity, a comedy written by Lee and produced by Rogen and Goldberg. Lee's premise explores a future society in which artificial intelligence is much more advanced than human intelligence. The writer reportedly decided to reach out to Rogen and Goldberg because its tone is similar to that of This Is the End.

The People First Social Network Gab What is Gab? gab?ab/ informal verb talk, typically at length, about trivial matters. Gab is a people first social network-Users can post "Gabs," which have a 300 character limit-Users can follow other Gabbers and be followed back-Users can upvote or downvote Gabs-Top Gabs are ranked based on these votes-Gabs are also displayed in a chronological home feed, something that is no longer a defau... Rose Behar August 15, 2016 4:56pm In an expansive interview with the Washington Post, Apple CEO Tim Cook opened up about a number of personal and professional subjects, from the importance of his public coming out to why he believes analysts are wrong that Apple has nowhere left to grow. In response to media reports that a first information report has been registered against Amnesty International (AI) India over organizing an event on rights violations in Kashmir, a statement issued by the AI today said it is yet to receive the copy of the FIR.