AI, it has already started changing what businesses can do. From self-driving cars to intuitive automatic vacuum cleaners to self-propelled lawn mowers that know the difference between overgrown grass and carefully maintained flower gardens, tasks that once took up so much of your time will soon become the responsibilities of intelligent tools. Not only will your home life change, but also the businesses that provide services soon are to be replaced (or drastically altered) by artificial intelligence. Landscaping, industrial cleaning, marketing and everything in between will soon have to find a way to coexist with the newest wave of technology. Until these machines become reality, however, AI is limited to its ability to corral and interrupt massive swatches of data.

Let's face it, mobile apps have become an overflowing bin of disparate digital objects. A million apps that do mostly the same thing, some better and some worse. Some are one-off campaign apps, and others are struggling businesses barely able to ride through the sea of sameness. Every app has its own user interface, its own rules, and its own way of interpreting how to filter an image or track your run while draining the life out of our precious smart devices. ComScore did a study and found that the average American devotes about half their app time to a single app.

GWEN IFILL: Now: developing technology that can better identify your own emotions. At a time when people are concerned about what data can track and how it can be sold, it is an advance that clearly raises concerns. But it may also yield some important benefits. The "NewsHour"'s April Brown takes a look, part of our weekly series on the Leading Edge of science and technology. DAN MCDUFF, Director of Research, Affectiva: You can control the movements of BB-8, the little droid, based on how your facial expressions are changing.

Intel has released its mid-year diversity numbers, which show only slight changes from late 2015 despite the tech company's 300 million to drastically change the makeup of its workforce. The company that arguably started and dominated the intelligent devices market for decades now finds itself in the role of an underdog, just as we're entering an era when the number of smart, computing-capable, connected things is exploding all around us. But that's exactly the position that Silicon Valley stalwart Intel finds itself in on the eve of its big annual Intel Developer Forum (IDF), being held in San Francisco this week. Intel's long-term strength, of course, has been providing the vast majority of the computing brains (the CPU) for the PC market. After several years of declining PC shipments, however, that legacy advantage has turned into a disadvantage, even despite signs that commercial PC shipments could be on the rebound.

But then getting a robot in charge would be a lot like voting for a president. Some people would agree with it, some wouldn't. Maybe every four years we'd have another vote, and the candidates would be both people and robots, and sometimes a robot would win, sometimes a person.

This is your last chance to get early pricing at the O'Reilly AI conference happening in New York September 26-27. Space is limited, so register now!

Based on the disturbing number of successful data breaches over the past few years, it's pretty evident that organizations are being overwhelmed by the growing number of threats. However, a new breed of security solution has sprung up, offering to apply machine learning to enterprise security. These tools deliver the ability to analyze networks, learn about them, detect anomalies and protect enterprises from threats. So, is machine learning the answer to today's cybersecurity challenges? Industry analysts and companies offering these products say they're seeing increased demand, and the early reaction from users is positive.

Netflix spent 1 million for a machine learning and data mining competition called Netflix Prize to improve movie recommendations by crowdsourced solutions, but couldn't use the winning solution for their production system in the end. This white paper takes a closer look at the real-life issues Netflix faced and highlights key considerations when developing production machine learning systems.

"By developing a sophisticated molecular builder, using state-of-the-art quantum chemistry and machine learning, in addition to drawing on the expertise of experimentalists, we discovered a large set of high-performing blue OLED materials," said Aspuru-Guzik, Professor of Chemistry and Chemical Biology, who led the research. "Following that validation, I am extremely excited to see this platform adopted for commercial development, utilizing its capabilities for the rapid screening of TADF materials." The algorithms dramatically reduce the computational cost of testing candidate molecules for new technologies. In addition to Kyulux's licensing of the software, three key researchers who developed the system in Aspuru-Guzik's research group and were co-authors on the Nature Materials publication have chosen to join Kyulux's computational chemistry group in Boston. Professor Aspuru-Guzik will also join the company as a part-time scientific advisor.

The U.S. Defense Advanced Research Projects Agency (DARPA) has launched a program that will create the technology to make new generations of artificial intelligence (AI) systems "explainable." DARPA'S Explainable AI (XAI) program aims to create new machine learning methods to produce more explainable models and combine them with explanation techniques. And why the need to understand AI? That's because explainable AI -- especially explainable machine learning -- will be essential if future American warfighters are to understand, appropriately trust and effectively manage an emerging generation of AI "partners" such as battlefield robots and machines. XAI is vital because continued advances in AI promise to produce autonomous systems that will perceive, learn, decide and act on their own. The effectiveness of these AI systems, however, is limited by the machine's current inability to explain their decisions and actions to human users.