Decades have passed since Simon first explored the psychology of human cognition; today AI is more and more present in our lives, be it via customer service or pure entertainment. No matter what its application, the Holy Grail of any successful AI project is its ability to achieve seamless interaction with humans. And at the core is AI's capability to recognize and react to emotions. But first, what are the basic human emotions, and why are they so important? Identifying the key types – and number – of human emotions was tough even for Aristotle who, in the 4th century B.C., identified the following 14: confidence, anger, friendship, fear, calm, unkindness, shame, shamelessness, pity, kindness, indignation, emulation, enmity and envy.

What if a simple camera capturing data for machine learning could tell you the threat level of an individual approaching a fence. What if the same combination of camera and computer could classify the behavior of shoppers in a grocery store isle and judge things like intent to purchase, presence of decision paralysis, and ease of identifying desired products. Fueled by advances in image recognition and processing power, smart-cameras that can classify human behavior rather than simply observe it may be the next step for IoT. Nanit is one of the first companies in this space. Dr. Assaf Glazer, a parent himself, and his team are working to take the pain out of one of the most strenuous tasks of any parent, making sure their baby gets a good nights sleep.

Artificial intelligence (AI) has been changing our lives for decades, but never has AI felt more ubiquitous than now. It seems as though not a week passes without yet another AI system overcoming an unprecedented hurdle or outperforming humans. But how the future of AI will pan out for humans remains to be seen. AI could either make all our dreams come true, or destroy society and the world as we know it. To get an a realistic handle on what that future might look like, Tech Insider spoke to 18 artificial intelligence researchers, roboticists, and computer scientists about the single most profound change artificial intelligence could bring. Scroll down to see their lightly edited responses.

Microsoft made some big announcements about the future of the Xbox gaming platform this week at the annual E3 conference. Among the top headlines were two new pieces of hardware: A slimmer version of the company's current console called the Xbox One S, as well as a turbocharged "Project Scorpio" model coming next year. TIME sat down with Xbox Chief Phil Spencer to talk about the company's future gaming plans. What follows is a lightly edited transcript of our conversation. Project Scorpio is designed to run games at 4K, the latest and greatest television resolution.

Before becoming a reality, AlphaBounce had to be shaped by ARAMIS, a motion-capture system that helps determine the amount of strain and tension caused by different materials. ARAMIS, which NASA has used to inspect the outer hull of space shuttles, combines high-speed cameras with flexion sensors to gather information at up to 500 frames per second. Since the software maps skin, bone and muscle, it can give Adidas engineers insight into how they should go about designing a more comfortable running sneaker. ARAMIS can visualize the level of comfort on every area of an individual's foot, from the heel to the toes, as well as indicate when the fabric may be getting in the way of performance. "It's a really versatile tool," said George Robusti, senior design director of global running at Adidas, of the ARAMIS system.

SugarCRM has put AI at the core of its product plans and is working on a new intelligence service along with a Siri-like agent named Candace. Tapping the company's recent acquisitions of Stitch and Contastic, the new technology will be designed to help businesses spend less time entering data into their customer relationship management software and more time learning from and acting upon it. SugarCRM is scheduled to demonstrate the new capabilities Wednesday at its SugarCon conference in San Francisco. "In the CRM space, we want people to focus on what they're good at: relating to others, such as customers and partners," Rich Green, SugarCRM's chief product officer, said in an interview last week. "As data becomes more and more available, it typically has required quite a bit of labor to ensure that your CRM system stays up to date," Green explained.

Choosing a machine learning algorithm is a lot like shoe shopping. If it were, we'd all be wearing thousand-dollar feather-light track shoes. Instead, we consider how we'll be using them. Some shoes are good for standing all day, and some are good for climbing cliffs. And, of course, how they look can trump everything else.

In the coming age of IoT, organizations that master machine learning to derive insights from the coming crush of data--a predicted 44 zettabytes by 2020--will reap massive rewards in the marketplace. Rather than subjugating human beings, AI will free people (and the businesses that employ them) to focus on even more creative endeavors such as ideation, innovation and finding new ways to deliver value to customers. Jive is at the center of these changes. Fueled by machine learning, Interactive Intranets will improve communication and collaboration across silos of corporate memory by short-cutting the steps companies need to go through to find information.

The Monetary Authority of Singapore (MAS) ordered BSI Bank Singapore to shut down recently on 24 May 2016. This serious action is due to their compliance oversight in money laundering which resulted in a criminal case. This is also a stark reminder of the compliance challenges that financial institutions are facing today. They had attracted millions of dollars of regulatory fines in the aftermath of the 2008 Global Financial Crisis. A distinguished law firm, Baker and McKenzie, commissioned a survey of 424 senior executives from financial institutions.

Andy Rubin, the Google veteran who built Android into the world's largest mobile operating system, is convinced that artificial intelligence is the next big thing. Rubin is the founder of Playground Global, a hardware and software incubator and venture capital firm overseeing at least 300 million. A veteran of past technology transitions, Rubin is now thinking about what could be the next big change to ripple through the industry. "New computing platforms happen every 10 to 12 years," he said at the Bloomberg Technology Conference, citing MS-DOS, Windows PCs and mobile as examples. "What's the next platform?... It's about data and people training AI systems to learn."