In our earlier posts we've discussed, and proven, empathys' growing importance in artificial intelligence. The next questions to ask are, "How do we make AI empathetic?", "How do we build emotion into our AIs?" and "Can we ever make AI feel?" At Kairos, we believe the answer to the "how" question is in face analysis. Facial recognition allows software to identify and verify human faces while emotion analysis allows software to measure and read the emotions on those found faces. More importantly, facial recognition and emotion analysis looks at each user as an individual and captures their specific human data.

David Kenny took the helm of IBM's Watson Group ibm in February, after Big Blue acquired The Weather Company, where Kenny had served as CEO. In the months since then, the Watson business has grown dramatically, with well over 100,000 developers worldwide now working with more than three dozen Watson application program interfaces (APIs). Fortune Deputy Editor Clifton Leaf caught up with Kenny in mid-October, when IBM Watson's General Manager was in San Francisco, getting ready to open Watson West--the AI system's newest business outpost--and to launch the company's second World of Watson conference, a gathering of its burgeoning ecosystem of partners and users, in Las Vegas on Oct. 24. FORTUNE: We hear a lot of terms on the AI front these days--"artificial intelligence," "machine learning," "deep learning," "unsupervised learning," and the one IBM uses to describe Watson: "cognitive computing." KENNY: Deep learning is a subset of machine learning, which essentially is a set of algorithms. Deep-learning uses more advanced things like convolutional neural networks, which basically means you can look at things more deeply into more layers. Machine learning could work, for example, when it came to reading text. Deep learning was needed when we wanted to read an X-ray. And all of that has led to this concept of artificial intelligence--though at IBM, we tend to say, in many cases, that it's not artificial as much as it's augmented.

It's been a big year for Artificial Intelligence, and its related terms like Cognitive Computing, Machine Intelligence, and Intelligent Machines, and for all its associated branches, from Machine Learning to Neural Networking and Natural Language Processing. IBM, for example, has continued making strides with Watson in verticals such as healthcare and financial services. The vendor announced everything from advances in its ability to add rich image analytics with Deep Learning to the Watson Health platform, to a furthering of its partnership with Deloitte that will use the technology in solutions to more efficiently and immediately manage risk and regulatory compliance requirements. At the end of last year, we also saw Tesla Motors CEO Elon Musk join with other industry figures to launch a non-profit AI research venture, OpenAI, with its stated goal being to help spread the technology to a broader base and direct it to having a positive impact on humanity. Furthermore, just to pick one Google announcement in the area, the search giant said it's using AI and Machine Learning in the Smart Reply capability in its Gmail Inbox mobile email client.

Often called cognitive computing or machine learning, AI is computers completing tasks traditionally performed by people. One way that AI has affected the legal space is its ability to process data to find patterns, perform tests, analyse and evaluate data to produce a set of results. The law's framework of rules makes it ideal for applying AI systems, where computers will process those rules, enabling them to complete tasks usually performed by lawyers. In simple terms, AI technology works by applying an amount of sample data and outcomes, previously examined by a professional, to a cognitive system, which is then able to analyse large amounts of data at high speed to produce a faster and more accurate result. The goal of AI isn't to change the nature of legal work or replace human lawyers, but to enable lawyers to concentrate on more cognitive tasks such as developing legal arguments, instead of spending long periods of time on routine duties like drafting and reviewing documents, extensive research of case files and other un-billable tasks.

Seeing a driver take their hands off the wheel can be enough to unnerve even the most hardened front seat passenger. But auto firm Jaguar Land Rover is looking to make this cold sweat inducing sight a common occurrence, with its autonomous driver technology. The firm is one of a trio of car makers set to trial vehicles which can'talk' to one another, drive themselves, skip red lights and even help you find a parking spot. Jaguar Land Rover is looking to make this cold sweat inducing sight a common occurrence. A trio of car manufacturers has joined with universities and tech firms to launch a three-year project to test connected and automated cars in the UK.

"I shall not today attempt further to define the kinds of material I understand to be embraced within that shorthand description ["hard-core pornography"], and perhaps I could never succeed in intelligibly doing so. But I know it when I see it, and the motion picture involved in this case is not that." In 1964, the Supreme Court overturned an obscenity conviction against Nico Jacobellis, a Cleveland theater manager accused of distributing obscene material. The film in question was Louis Malle's "The Lovers," starring Jeanne Moreau as a French housewife who, bored with her media-mogul husband and her polo-playing sidepiece, packs up and leaves after a hot night with a younger man. And by "hot," I mean a lot of artful blocking, heavy breathing and one fleeting nipple -- basically, nothing you can't see on cable TV.

Cincinnati Zoo has finally re-joined Twitter, after receiving an onslaught of abuse that forced it to delete its account for two months. And it is already getting more of it. The zoo was the home of Harambe, the gorilla, who was shot earlier this year after a child fell into his enclosure. And it was that event that eventually forced it off Twitter and Facebook. While it attempted to use its account to highlight other parts of the zoo, all of its post ended up being filled with replies making reference to Harambe and holding the zoo responsible. Amy Rimmer, Research Engineer at Jaguar Land Rover, demonstrates the car manufacturer's Advanced Highway Assist in a Range Rover, which drives the vehicle, overtakes and can detect vehicles in the blind spot, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire Chris Burbridge, Autonomous Driving Software Engineer for Tata Motors European Technical Centre, demonstrates the car manufacturer's GLOSA V2X functionality, which is connected to the traffic lights and shares information with the driver, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire In its facilities, JAXA develop satellites and analyse their observation data, train astronauts for utilization in the Japanese Experiment Module'Kibo' of the International Space Station (ISS) and develop launch vehicles The robot developed by Seed Solutions sings and dances to the music during the Japan Robot Week 2016 at Tokyo Big Sight.

Tesla CEO Elon Musk is no stranger to risk. Fans of the company have called its leader savvy and visionary; critics and competitors have described some of his decisions as reckless. Reaction to Musk's latest move, announced on Wednesday, has been no different. His decision to equip all new Tesla vehicles with radar and cameras that will enable them to (eventually) drive autonomously--without human intervention--has been described as brilliant while others have called it dangerous. This is a speculator's game.

Anyone remember Rosie, the robotic housekeeper who petered around "The Jetsons" in the 1960s? "I swear on my mother's rechargeable batteries," she once joked, when asked by Judy Jetson to keep a secret. While we're still a few years away from a domesticated humanoid robot that can wash our dishes and make our beds, today's smart home products are designed to make your living space safer, more energy efficient, and easier to maintain. The following is a look at a few smart ways to bump up your home's I.Q. The maker of the first smart thermostat (in 2007) is back with an even more affordable model.

The practice of software development has created development methodologies such agile development and lean methodology to tackle the complexity of development with the objective of improving the quality and efficiency of software creation. Although Deep Learning is built from software it is a different kind of software and therefore a different kind of methodology is needed. Deep Learning differs most from traditional software development in that a substantial portion of the process involves the machine learning how to achieve objectives. The developer is not completely out of the equation, but is working in concert to tweak the Deep Learning algorithm. Deep Learning is sufficiently rich and complex a subject that a process model or methodology is required to guide a developer.