Attention all 18- to 24-year-olds in the U.S.: Tay is online now, and she wants to chat with you. That, at least, is according to a new Web page for the artificially intelligent bot, which was created by Microsoft to learn more about how people converse. The bot is now on hand to chat with you on Twitter as well as Kik and GroupMe; it's also on Facebook, Instagram and Snapchat. The more you chat with it, the smarter it gets, Microsoft says, leading to a personalized experience. If you share information with Tay, the bot will track your nickname, gender, favorite food, ZIP code and relationship status. It may also use that data to search on your behalf or to create a simple profile for you.

SAN FRANCISCO--(BUSINESS WIRE)--Executives previously from IBM Watson, GE Digital, Infosys, and MicroStrategy announced today that they have joined forces with TPG Growth to launch Noodle Analytics, Inc. (Noodle.ai), the Enterprise Artificial Intelligence company. Today's artificial intelligence technologies include machine learning, predictive data analytics, and data science. He is joined by Dr. Matt Denesuk, previously Chief Data Science Officer for GE Digital; Raj Joshi, previously Senior Executive Vice President of Professional Services at MicroStrategy; and Dr. Ted Gaubert, previously Chief Technology Officer of Infosys Consulting. The team brings deep experience in AI, big data, data science, machine learning, and data analytics across industries.

SAN FRANCISCO--(BUSINESS WIRE)--Executives previously from IBM Watson, GE Digital, Infosys, and MicroStrategy announced today that they have joined forces with TPG Growth to launch Noodle Analytics, Inc. (Noodle.ai), the Enterprise Artificial Intelligence company. Enterprise AI represents a major step forward in merging human learning and machine learning, all fueled by big data. Enterprise AI solutions combine world-class expertise in human-centered design, business process engineering, and artificial intelligence technologies. Today's artificial intelligence technologies include machine learning, predictive data analytics, and data science. "Over the next three to five years, artificial intelligence technologies and big data will be the most significant competitive differentiators in business. We are excited to be a pioneer in Enterprise Artificial Intelligence, offering timely, valuable, and affordable solutions to clients. We have the right team, an optimized business model, and the right partners to create extraordinary value," says Stephen Pratt, CEO of Noodle.ai.

Attention all 18- to 24-year-olds in the U.S.: Tay is online now, and she wants to chat with you. That, at least, is according to a new Web page for the artificially intelligent bot, which was created by Microsoft to learn more about how people converse. The bot is now on hand to chat with you on Twitter as well as Kik and GroupMe; it's also on Facebook, Instagram and Snapchat. The more you chat with it, the smarter it gets, Microsoft says, leading to a personalized experience. If you share information with Tay, the bot will track your nickname, gender, favorite food, ZIP code and relationship status. It may also use that data to search on your behalf or to create a simple profile for you.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

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Q: Whenever I teach artificial intelligence (AI), machine learning or intelligent robotics, my class and I end up having what I call'The Terminator Conversation'. My point in this conversation is that the dangers from AI are overblown by media and non-understanding news, and the real danger is the same danger in any complex, less-than-fully-understood code: edge case unpredictability. In my opinion, this is different from'dangerous AI' as most people perceive it, in that the software has no motives, no sentience and no evil morality, and is merely (ruthlessly) trying to optimise a function that we ourselves wrote and designed. Your viewpoints (and Elon Musk's) are often presented by the media as a belief in'evil AI,' though of course that's not what your signed letter says. Students that are aware of these reports challenge my view, and we always end up having a pretty enjoyable conversation. How would you represent your own beliefs to my class?

It's a weird feeling, cruising around Silicon Valley in a car driven by no one. I am in the back seat of one of Google's self-driving cars – a converted Lexus SUV with lasers, radar and low-res cameras strapped to the roof and fenders – as it maneuvers the streets of Mountain View, California, not far from Google's headquarters. I grew up about five miles from here and remember riding around on these same streets on a Schwinn Sting-Ray. Now, I am riding an algorithm, you might say – a mathematical equation, which, written as computer code, controls the Lexus. The car does not feel dangerous, nor does it feel like it is being driven by a human. It rolls to a full stop at stop signs (something no Californian ever does), veers too far away from a delivery van, taps the brakes for no apparent reason as we pass a line of parked cars. I wonder if the flaw is in me, not the car: Is it reacting to something I can't see? The car is capable of detecting the motion of a cat, or a car crossing the street hundreds of yards away in any direction, day or night (snow and fog can be another matter). "It sees much better than a human being," Dmitri Dolgov, the lead software engineer for Google's self-driving-car project, says proudly. He is sitting behind the wheel, his hands on his lap. As we stop at the intersection, waiting for a left turn, I glance over at a laptop in the passenger seat that provides a real-time look at how the car interprets its surroundings. On it, I see a gridlike world of colorful objects – cars, trucks, bicyclists, pedestrians – drifting by in a video-game-like tableau. Each sensor offers a different view – the lasers provide three-dimensional depth, the cameras identify road signs, turn signals, colors and lights. The computer in the back processes all this information in real time, gauging the speed of oncoming traffic, making a judgment about when it is OK to make a left turn.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

The Second National Data Science Bowl, a data science competition where the goal was to automatically determine cardiac volumes from MRI scans, has just ended. We participated with a team of 4 members from the Data Science lab at Ghent University in Belgium and finished 2nd! The team kunsthart (artificial heart in English) consisted of Ira Korshunova, Jeroen Burms, Jonas Degrave (@317070), 3 PhD students, and professor Joni Dambre. It's also a follow-up of last year's team Deep Sea, which finished in first place for the First National Data Science Bowl. This blog post is going to be long, here is a clickable overview of different sections. The goal of this year's Data Science Bowl was to estimate minimum (end-systolic) and maximum (end-diastolic) volumes of the left ventricle from a set of MRI-images taken over one heartbeat. These volumes are used by practitioners to compute an ejection fraction: fraction of outbound blood pumped from the heart with each heartbeat.