SAN FRANCISCO: Google on Wednesday announced a deal to buy Moodstocks, a French startup behind technology that helps smartphones recognize whatever they are aimed at. Moodstocks caught the US technology giant's eye for its work in computer vision and machine learning, as well for accomplishments in enabling smartphones or other mobile devices to recognize images and objects. Google is among Silicon Valley titans investing in ways to get computers to see and understand the world around them the way people do. Machine learning has been woven into an array of Google offerings, such as its free language translation and photo services. "There's a lot more to be done to improve machine vision," Google France tech site lead Vincent Simonet said in a blog post.

It is safe to say that artificial intelligence is single handedly the most important technology to be introduced into search marketing in the last few years. From Google's RankBrain algorithm which feeds searches through machine learning technology, to Alexa, Siri, and Cortana for voice search, AI is changing the way we use and interact with search engines. This week Google made a big announcement at their 2016 I/O event, where CEO Sundar Pichai exhibited the company's new assistive search tool dubbed Google assistant. Google's choice to not capitalize "assistant" in the name is an interesting one, as it signifies that this is not a stand alone tool, but instead a technology that could be built into other Google platforms. Google assistant is not a tool or a service; it is a technology that could shape how searches are performed.

Google on Wednesday announced a deal to buy Moodstocks, a French startup behind technology that helps smartphones recognize whatever they are aimed at. Moodstocks caught the US technology giant's eye for its work in computer vision and machine learning, as well for accomplishments in enabling smartphones or other mobile devices to recognize images and objects. Google is among Silicon Valley titans investing in ways to get computers to see and understand the world around them the way people do. Machine learning has been woven into an array of Google offerings, such as its free language translation and photo services. "There's a lot more to be done to improve machine vision," Google France tech site lead Vincent Simonet said in a blog post.

Moodstocks caught the US technology giant's eye for its work in computer vision and machine learning, as well for accomplishments in enabling smartphones or other mobile devices to recognise images and objects. Google is among Silicon Valley titans investing in ways to get computers to see and understand the world around them the way people do. Machine learning has been woven into an array of Google offerings, such as its free language translation and photo services. "There's a lot more to be done to improve machine vision," Google France tech site lead Vincent Simonet said in a blog post. "That's where Moodstocks comes in."

Google on Wednesday announced a deal to buy Moodstocks, a French startup behind technology that helps smartphones recognize whatever they are aimed at. Moodstocks caught the US technology giant's eye for its work in computer vision and machine learning, as well for accomplishments in enabling smartphones or other mobile devices to recognize images and objects. Google is among Silicon Valley titans investing in ways to get computers to see and understand the world around them the way people do. Machine learning has been woven into an array of Google offerings, such as its free language translation and photo services. "There's a lot more to be done to improve machine vision," Google France tech site lead Vincent Simonet said in a blog post.

In 2012, Dennis Mortensen had 1,019 meetings, each of which required an average of roughly eight back-and-forth emails to schedule. Every time Mortensen comes across a contact interested in meeting with him, the CEO and founder of New York City-based artificial intelligence firm x.ai simply sends them a return email copying Amy, who takes care of the rest. "In raw numbers, I've saved about an hour every day -- an hour which I would otherwise have to use in really rudimentary work where I add not much value," Mortensen said of Amy's help scheduling meetings. Virtual assistants like Amy are becoming more common. Just as household technology platforms like Apple's "Siri" and Microsoft's "Cortana" has helped consumers navigate their lives more easily, other forms of rudimentary artificial intelligence platforms are starting to proliferate the market, many of them upending traditional business roles.

There are certain clues that will expose someone when they are lying right to your face – but how do you spot a liar in emails or the'About Me' section of a dating profile? Researchers have developed an algorithm that can spot a deceiver 70 percent of time just by analyzing their word use, structure and context. This computerized lie detector was designed by feeding it emails with both lies and truthful statements until it learned patterns linked to deception. Researchers have developed an algorithm that takes the guessing out by telling users when someone is lying through analyzing word use, structure and context. While comparing the truths and the lies in the sample emails, the City University of London discovered that those who are being deceitful less likely to use personal pronounces – such as'I', 'me', mine' – and will use more adjectives instead, reports The Telegraph.

Jibo will be one of the first robots for the home that can actually see its users. The first wave of home robots is already upon us with the Amazon Echo, and the coming Google Home. While these barebones bots can take simple commands, they can't really add anything to the conversation or scoot around your home. That's what the makers of Jibo are trying to create--a robot that can initiate conversation to complete tasks in the home--and they're tapping some of the world's foremost A.I. researchers to do it. Today, Jibo Inc. announces that its adding veteran researcher Michael I. Jordan to its advisory board.

After Apple's WWDC keynote last month, some reporters asked me if Apple's new additions to Siri are reactionary. They assumed that since Amazon, Google and Microsoft have upped the intelligence of their voice assistants, Apple was forced to make Siri more competitive. But to think that Apple's Siri improvements are reactionary shows a lack of understanding about the company's work in artificial intelligence (AI). Apple has been working on speech and voice AI solutions for decades. In fact, in 1992, I got involved with the earliest version of its voice technology research, which was tied to an early AI and machine learning engine.

'We have arrived,' the personal assistant announced as the automated share car pulled up outside Turing & Partners, one of London's best-known AI-powered law firms. Elon Turing looked up from his notes that were projected before him and got out at the curb on Gresham Street, not far from the Bank of England. It was very warm, as it always was these days, though there was a heaviness in the air that promised a thunder storm. Elon nodded to the car, which zipped away into the pollution free morning and disappeared into a sea of auto-taxis, self-driving buses and other share cars. He took a deep breath and marched up to the front door of the building. The door scanned his face and opened, greeting him politely as he walked into the cooled lobby. At the reception desk was Albert.