Quaker has a new robot chef and her name is Alexa. The 135-year-old maker of oats is harnessing the power of artificial intelligence to help consumers make an oatmeal method as old as Quaker itself: overnight oats. Working with agency partner Organic, Quaker has built its first ever app for Amazon's virtual assistant, which is available through products like the Echo speaker. The app, which debuted on Sunday at South by Southwest in Austin, Texas, helps users find and make recipes for overnight oats, a trend that came as a bit of a surprise to the household brand that arguably knows oatmeal better than anyone. The idea for the app began a few months ago, after Quaker's social media team noticed there was a resurgence of an age-old tradition of cooking oats the night before and then letting them cool in the refrigerator overnight to be eaten cold the next morning.

Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And in the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask.

Just months after announcing a pizza delivery truck with built-in heaters, the pizza purveyor is upping the ante with the world's first pizza delivery robot. The company's Australian arm announced plans to deploy a Domino Robotic Unit (DRU). Essentially an autonomous vehicle, DRU can, according to Domino's, follow a map, navigate sidewalks, avoid obstacles and keep your pizza hot and fresh while delivering it to your front door. While this sounds like an elaborate marketing stunt, a Domino's spokesperson confirmed to Mashable that the robot is real. "DRU is cheeky and endearing and we are confident that one day he will become an integral part of the Domino's family. He's a road to the future and one that we are very excited about exploring further," said Domino's Group CEO and Managing Director Don Meij in a release.

There are a lot of creepy things you can do with the data gleaned from an online and mobile maps service used by 302 million people, but there are helpful ways to use it too. Baidu, China's version of Google, is making the case that it can use queries made on its maps service to predict areas where overcrowding may put people at risk for fatal accidents. In a paper titled "Early Warning of Human Crowds Based on Query Data from Baidu Map: Analysis Based on Shanghai Stampede," three Baidu researchers based in Beijing lay out an approach to using big data to give early warnings about potential crowd disasters 1-3 hours in advance. This data is already used by Chinese city planners to help them place transportation, facilities, and shops, according to MIT Technology Review. Now it can be used in the interest of public safety, the researchers assert.

TECH ENTREPRENEUR Elon Musk has been warning that the Age of the Robots is coming soon -- and it might not be pleasant for us. He may be right and he may be wrong on that, but one thing is sure: One robot certainly gave the anti-Whites a headache just this week. On Wednesday, tech giant Microsoft, the third largest corporation on Earth in terms of market value, launched and then immediately withdrew an Artificial Intelligence robot in the persona of a 19-year-old American girl called "Tay." Tay was a "chatbot," which interacted with real humans on the social media platform Twitter and was designed to learn from its interactions. Tay learned so fast that Microsoft pulled her offline in less than a single day.

SAN FRANCISCO • The resounding win by a Google artificial intelligence (AI) programme over a champion in the complex board game Go this month was a statement - not so much to professional game players as to Google's competitors. Many of the tech industry's biggest companies, like Amazon, Google, IBM and Microsoft, are jockeying to become the go-to company for AI. In the industry's lingo, they are engaged in a "platform war". A platform, in technology, is essentially a piece of software that other companies build on and that consumers cannot do without. Become the platform and huge profits will follow.

A drone has successfully delivered a package to a residential location in a small Nevada town in what its maker and the governor of the state said Friday was the first fully autonomous urban drone delivery in the U.S. Flirtey CEO Matt Sweeney said the six-rotor drone flew about a half-mile along a pre-programmed delivery route on March 10 and lowered the package outside a vacant residence in an uninhabited area of Hawthorne, southeast of Reno. The route was established using GPS. A pilot and visual observers were on standby during the flight but weren't needed, Sweeney said. He said the package included bottled water, food and a first-aid kit. "Conducting the first drone delivery in an urban setting is a major achievement, taking us closer to the day that drones make regular deliveries to your front doorstep," Sweeney said. Nevada Gov. Brian Sandoval congratulated the company "on successfully completing the nation's first fully autonomous urban package delivery."

The March Madness competitions have the perfect trifecta for regret: repeated leaderboard feedback, ability to tweak probabilities based on personal biases, and a wealth of different data points. So what would you do differently for next year? The only tweak I did was changing the round 1 probabilities for seed 1s to 100% on one submission. I should have gambled a lot more because my two submissions are so similar. I didn't notice this cause I just saw that the predicted champions were different without realizing all the probabilities are within 2-3% of each other.

Machine learning has crossed from the lab to the business world. Machine learning provides insights that help to create more intelligent data-driven applications that improve business processes, operation, and easier decision making. In a conversation at Structure Data 2016 conference in San Francisco, Dr. Peter Lee, Corporate Vice President, Microsoft Research and Jack Clark, Bloomberg News - San Francisco, talked about the advances we made in Artificial Intelligence (AI) and machine learning in recent years. Dr. Lee is responsible for Microsoft Research New Experiences and Technologies. He said that AI is essentially used to really understand what customers want.

If you want to get a jump on the latest developments in machine intelligence, head down to where Manhattan's Lower East Side borders Chinatown, a still-gritty but gentrifying neighborhood where hip coffee houses are springing up next to industrial-supply outlets and wholesale stores. The location, an area in the midst of transition and modernization, is a fitting spot for Fast Forward Labs, a startup founded to help companies innovate and compete using what founder and CEO Hilary Mason calls "recently possible" machine intelligence techniques and technology. Fast Forward Labs has an unusual business model. It produces quarterly reports on emerging (or what Mason calls "near future") technology, builds prototypes to demonstrate the technology and offers advisory services. The business is based on a subscription model: For an annual fee, clients get access to the reports and prototypes plus time with Mason and her colleagues, who offer advice on how to apply the technology.