Google is making it easier for businesses to take advantage of the machine learning revolution with a new product for building models that predict the future. At the company's GCP Next conference in San Francisco, Google announced the private beta of a new Cloud Machine Learning service that lets businesses create a custom machine learning model. To do so, users work with data they have in Google's other cloud services. Cloud Machine Learning handles data ingestion and training and then uses the resulting machine learning model to make predictions. It's designed for companies that want to use machine learning to make predictions for their business.

Last year it was a Chinese speaking girlfriend and now it's an American teenage girl. Microsoft has launched its latest chat bot aimed at 18 to 24 year olds to improve their understanding of conversational language among young people online. Tay, like most teens, can be found hanging out on popular social sites and will engage users with witty, playful conversation, the firm claims. Microsoft has launched its latest chat bot aimed at 18 to 24 year olds to improve their understanding of conversational language among young people online. This chat bot is the brainchild of Microsoft's Technology and Research and Bing teams, and can be found interacting with users on Twitter, KIK and GroupMe.

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The man who helped build Google from a search engine into one of the biggest and most influential companies in the world has predicted the emergence of a new computing architecture based on crowd-sourced data and machine learning. Speaking at Google's GCP Next cloud computing conference in San Francisco, Alphabet Chairman Eric Schmidt said the combination of crowd-sourced data and machine learning will be the basis of "every successful huge IPO" in five years." He said the adoption of machine learning will allow companies to mine crowd sourced data, which already provides a mass of information not previously available to companies, and improve on it. "You're going to use machine learning to take that data and do something that's better than what the humans are doing," he said. Schmidt said the wide adoption of machine learning in computing will be as significant as the switch from the web to smartphone apps, which spawned the success of companies like Uber and Snapchat.

The man who helped build Google from a search engine into one of the biggest and most influential companies in the world has predicted the emergence of a new computing architecture based on crowd-sourced data and machine learning. Speaking at Google's GCP Next cloud computing conference in San Francisco, Alphabet Chairman Eric Schmidt said the combination of crowd-sourced data and machine learning will be the basis of "every successful huge IPO" in five years. He said the adoption of machine learning will allow companies to mine crowd-sourced data, which already provides a mass of information not previously available to companies, and improve on it. "You're going to use machine learning to take that data and do something that's better than what the humans are doing," he said. Schmidt said the wide adoption of machine learning in computing will be as significant as the switch from the Web to smartphone apps, which spawned the success of companies like Uber and Snapchat.

Google today announced a new machine learning platform for developers at its NEXT Google Cloud Platform user conference in San Francisco. As Google chairman Eric Schmidt stressed during today's keynote, Google believes machine learning is "what's next." With this new platform, Google will make it easier for developers to use some of the machine learning smarts Google already uses to power features like Smart Reply in Inbox. "Major Google applications use Cloud Machine Learning, including Photos (image search), the Google app (voice search), Translate and Inbox (Smart Reply)," the company says. "Our platform is now available as a cloud service to bring unmatched scale and speed to your business applications."

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Any savvy investor with a hand in tech stock knows that an innovation gold rush is well underway. Although the market is viciously competitive, creative upstarts that aim to change the game in their field are increasingly gaining an edge over bigger, less adaptable entities. The name of the game is Change, so the companies to watch are those who are making the biggest waves in their industry, the ones who promise to disrupt the status quo, the ones who are launching new methods and ideas in stagnant landscapes. In 2016, these are just five companies to keep an eye on, because when their innovations go mainstream, we'll be looking at tidal waves. Ten years ago, when the concept of "the cloud" first got rolling, the public looked at the technology with a skeptical eye.

Demiurge Technologies AG, a Swiss startup that works on artificial intelligence, says it's interested in acquiring Boston Dynamics, the Waltham robot maker put on the auction block last week by Alphabet Inc., parent company of Google. "We are pursuing an acquisition of Boston Dynamics to develop a new Robot Operating System (ROS) based on Demiurge's next generation of deep neural networks exclusively for physical mobile robots," said a statement issued by Demiurge. Little more is known about Demiurge. According to information on the company's website, it was launched last May with 9.5 million in angel and venture funding. Investors include Vantone Holdings and Hongdao Capital.

Like many other millennials, she spends most of her time on messaging services like Kik and social media, and loves to talk about lowkey celebs, horoscopes, and what she'd call her first album if she were a singer. Tay, however, is a bot made by Microsoft that lives in the cloud, rather than a sceney neighborhood in a major city. Microsoft's AI researchers programmed Tay to be a conversation bot, using public data and input from improv comedians, according to Popular Science. Tay's straight fire website says that it (or she?) gets smarter the more you converse. The bot is apparently targeted toward social media savvy 18- to 24-year-olds in the US, and Microsoft plans to use the responses humans give to Tay to help train its natural-language processing tools, Popular Science reports.