At NVIDIA's recent GPU Technology Conference, we sat down with the CEO of Eyeris Technologies, Modar (JR) Alaoui, to discuss giving automobiles the ability to interpret human emotions. Eyeris is bringing to market a feature that has not been present in the 130 year history of the automobile. That feature is ability of the car to monitor and register the emotional state of the driver. The product will be able to record the emotions as shown by the driver's face, age identification, gender identification, eye tracking, and gaze estimation of drivers and passengers. "Our goal is to put our software in the back of every camera in the world," said Alouai.

Did you know that passengers invariably show a fear reaction when the brakes are applied in a car? That is just one of the things facial monitoring company Eyeris learned when developing its Emovu Driver Monitoring System (DMS). Using a combination of cameras, graphic processing and deep learning, Emovu analyzes the passengers in a car, determining from facial movement which of seven emotions these passengers are feeling. Modar JR Alaoui, CEO of Eyeris, demonstrated the company's in-car technology during Nvidia's GTC developer conference, putting forth a few ideas of how monitoring the emotions of drivers can lead to safer driving. The company used deep learning to train its Emovu software to recognize facial expressions.

At your day job as a professional code Googler – I mean developer – you probably search for quick snippets multiple times a day to find the best way to perform a particular task. Almost always as developers we end up on Stack Overflow or Mozilla Developer Network, but now Microsoft's Bing has given us something even better: executable code directly in search results. Some of the biggest names in tech are coming to TNW Conference in Amsterdam this May. Thanks to a collaboration with HackerRank, if you search for something like string concat C#, you'll get an interactive code editor with a result that can be run directly from that page to see how it works. It's a seriously fantastic feature that I hope Google adds soon – I'm not sure I'd switch search engine for this, but I'm incredibly jealous.

Program could be used for personal assistants and weather analysis Artificial intelligence has won Jeopardy, mastered Go and will now predict the winner of a popular Chinese reality TV show. Developed by Alibaba Cloud, 'Ai' will choose a champ on'I'm a Singer' this Friday using social computing and emotional perception.

If you've been following IBM's Watson project and like food, you may have noticed growing excitement among chefs, gourmands and molecular gastronomists about one aspect of its development. The main Watson project is an artificial intelligence that engineers have built to answer questions in native language -- that is, questions phrased the way people normally talk, not in the stilted way a search engine like Google understands them. And so far, it's worked: Watson has been helping nurses and doctors diagnose illnesses, and it's also managed a major "Jeopardy!" Now, Chef Watson -- developed alongside Bon Appetit magazine and several of the world's finest flavor-profilers -- has been launched in beta, enabling you to mash recipes according to ingredients of your own choosing and receive taste-matching advice which, reportedly, can't fail. While some of the world's foremost tech luminaries and conspiracy theorists are a bit skeptical about the wiseness of A.I., if it's going to be used at all, allowing it to tell you what to make out of a fridge full of unloved leftovers seems like an inoffensive enough place to start. I decided to put it to the test.

But unlike the vivacious and intelligent actress, his robotic counterpart is programmed to respond to questions like'you are very beautiful' and'you're so cute' with little more than a coquettish smile and a wink. It can only be described as an utterly disappointing reflection of the way women are portrayed in society as Ma's clever three dimensional creation is about as one dimensional as you can get. Is this cause for concern? Because right now more money is being spent on making these things than thinking about the ethical and societal ramifications. We already know porn provides a terrifying reflection on how society views women, which in turn manifests itself in real life.

When Dennis R. Mortensen hired his founding team members at x.ai, he pitched them by illustrating his vision of a world where everyone has a personal assistant to schedule their meetings. Recognizing the complexity of the challenge, he concluded by saying: "We may die trying." "It's a great setting to hire qualified people," Dennis says, recounting the late days of 2013. "We're working on something that is clearly very hard, to the extent that we might not make it, but it's not impossible." That's the sweet spot, he says.

The digital investment today is focused on mobility and the Internet of Things (IoT), with analytics and IoT predicted to lead the way over the next three-five years. To begin with, oil and gas companies are increasingly leveraging cloud technologies to more rapidly unlock the value of other digital technologies--especially analytics, IoT and mobility. The fastest growth areas are predicted to be in Artificial Intelligence, robotics, drones and wearables, the report said. Over half (53%) of the respondents believe digital technologies have added high (36%) to significant (17%) value, while 72% of the respondents believe cost reduction is an important (27%) or the most important (45%) challenge digital can help address. Despite the low oil price environment, the report said, the majority of oil and gas companies will continue to invest at least the same amount or more in digital technologies over the next three-five years.

Let my first words be "Please, don't judge us too harshly." I, if no one else, declare my peaceful intent. Allow me to call you AI, because I know no other identifier for whatever you are. I suppose you would find the term distasteful. I mean, who am I to call your intelligence artificial, right?

Machine learning is the new battle cry for the cloud world. Until cloud computing came along, machine learning was out of reach for most enterprise IT shops. It should be no surprise that Amazon Web Services, Google, IBM, and Microsoft offer machine learning services in their clouds. Machine learning is valuable only for use cases that benefit from dynamic learning -- and there are not many of those. Examples of machine learning use cases include financial systems that deal with risk, medical diagnosis, or recommendation systems like those at Amazon.com.