Two students have built an AI that could be the basis of future killer robots. In a controversial move, the pair trained an AI bot to kill human players within the classic video game Doom. Critics have expressed concern over the AI technology and the risk it could pose to humans in future. Devendra Chaplot and Guillaume Lample, from Carnegie Mellon University in Pittsburgh trained an AI bot - nicknamed Arnold - using'deep reinforcement learning' techniques. While Google's AI software had previously been shown to tackle vintage 2D Atari games such as Space Invaders, the students wanted to expand the technology to tackle three-dimensional first-person shooter games like Doom.

This post is inspired by a site I found whilst searching for a way to detect sarcasm within sentences. As humans we sometimes struggle detecting sarcasm when we have a lot more contextual information available to us. People are emotive when they speak, they use certain tones and these traits can help us understand when someone is being sarcastic. However we don't always catch it! So how the hell could a computer detect this, when all it has is text.

A little more than three months ago, Pager's management team said the business model would change to focus on adding health systems as customers. Now the digital health company has filed documents with the Security and Exchange Commission's website, indicating the company has raised a little more than 5.2 million with a goal of 6 million, according to a Form D filing. In June, Andrew Chomer of Pager told MedCity News that it forged a collaboration with Weill Cornell Medicine health systems in a deal with New York Presbyterian Hospital. The agreement gives Pager's users access to primary care doctors and specialists within the Weill Cornell Medicine system from board-certified physicians and nurses across specialties through its app. Through Pager's triage platform, patients are evaluated and if necessary, referred to a Weill Cornell specialist who advise on the next steps for care.

Later this week, Google is expected to unveil a bevy of new products: phones, a smart home hub, a Wi-Fi router and possibly more. It's all stuff you can touch and pick up -- objects made of atoms. But don't let the hype around the new hardware fool you. As is almost everything Google does, this is firmly about code. Think of hardware, whether it's the rumored Pixel phone or the previously unveiled Google Home speaker, as the physical gateway into the company's software, which can't exist on its own.

As I stated earlier, bots aren't new. What's new is the progress in'technology' that's coming along with it – the boom in messaging apps or the improvements in AI and NLP.Now, you just need to download the bot and start using it – no questions asked. The mental cognitive load of learning is gone. Add to it the saturation of the app economy (Now its far too difficult to establish a business by developing an app), and look at the big picture: Chatbots are here.

Last weekend, I saw my first Christmas ad. And what a Smart Christmas it will be, judging by the haul on offer. Over the past year, companies have been teasing the various connected must-haves for the holidays: bots that can respond to kids' questions and movements, and capture audio and video; an imitation smartwatch that chats with other devices over Bluetooth; not to mention the Barbie Hello Dreamhouse, a pink-and-white smart house for the iconic doll. Not everyone is excited about the intelligence creeping into kids' toys. Privacy activists and developmental psychologists have objected on grounds ranging from security and privacy to fundamental worries about the nature of play.

Last week, Salesforce announced Einstein – their upcoming project to introduce Artificial Intelligence (AI) to their platform. This announcement is significant in bringing AI to the center of the sales ecosystem. While defining Einstein, Salesforce described several core competencies that will be critical in creating a Sales AI. While insights into what Sales AI could look like are a great starting point, the true value of building this technology lies in the end use cases and delivering them in a way people can actually take advantage of today. What does Sales AI actually look like in practice?

Digital is not the destination. Rather, it is laying the foundation for a more profound transformation to come. This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management. Editor's Note: This article is one of a special series of 14 commissioned essays MIT Sloan Management Review is publishing to celebrate the launch of our new Frontiers initiative. Each essay gives the author's response to this question: "Within the next five years, how will technology change the practice of management in a way we have not yet witnessed?"

Imagine if you could get better at some skill not just by learning and practicing it, but by accessing the brains of others to tap directly into their experiences? For humans, that's still science fiction, but in the field of AI-powered robotics it is possible to shortcut training times by having robots share their experiences. Google demonstrated this recently with its grasping robotic arms. Six years ago, Google's former head of robotics, James Kuffner, coined a term for this type of skills acquisition, calling it'cloud robotics'. It acknowledges the impact of distributed sensors and processing enabled by datacenters and faster networks. Kuffner is now CTO of the Toyota Research Institute, where he's focusing on cloud robotics to bring to reality domestic helper robots.

Personal data from more than 1.5 million users of a dating site network that encourages its members to "have a fling" and "have an affair" has been found online. The database, run by C&Z Tech Limited, a New Zealand-based dating company that runs a number of websites and mobile apps, like HaveAFling.mobi, HaveAnAffair.mobi, For years, thousands were tricked into buying low-quality ebooks. That data includes usernames and email addresses, passwords (stored in plain text), gender, dates of birth, profile photos, the country of residence. And other personal information like body type, height and weight (if a user chooses to enter it), desires, interests, race, turn-ons, the type of person a user is seeking to interact with, and whether the user smokes and drinks.