What will determine who leads the AI efforts in the next decade and beyond? It will be the companies best equipped to teach using massive amounts of data.

The report by Oxford University and Deloitte titled, The State of the State, highlights the industries most impacted by the world of automation. The research shows that over one million Brits could be out of work by 2030, with the strong possibility of being replaced by robots. Leaving the EU is an era-defining task for the UK government. What will it mean for devolved governments? There is a 77 percent probability of around 1.3 million "repetitive and predictable" administrative and operative roles being given to robots within the next 15 years.

Not only has Google created the new Google Cloud brand and introduced a number of new apps under the G Suite umbrella, but the company has also announced that it will be using artificial intelligence to beef up Google Drive, Docs, Sheets, Slides, and even Calendar. So what exactly does that mean? Among other changes, a new feature called Quick Access, which is available in Google Drive for Android, is claimed to shave 50 percent off of the average time it takes to find a file by removing the need to ever search for it. That's because machine learning predicts which file you'll need to access before you try to access it, and will display those files at the top of the screen. As mentioned, Calendar is also getting a few new features.

The decision to launch in-app signals a departure in Bank of America's bot strategy. For one, it might have decided that the risks of disintermediation from using an external messaging app were too high -- if consumers were to associate Facebook Messenger with banking services, rather than BofA, that could result in an erosion of loyalty. Laurie Beaver, research associate for BI Intelligence, Business Insider's premium research service, has compiled a detailed report on chatbots that explores the growing and disruptive bot landscape by investigating what bots are, how businesses are leveraging them, and where they will have the biggest impact. Finally, it compares the potential of chatbot monetization on a platform like Facebook Messenger against the iOS App Store and Google Play store.

General Motors Co. GM -0.27 % is enlisting digital smarts from International Business Machines Corp. IBM 0.84 % 's Watson artificial intelligence technology in an effort to leapfrog other tech companies angling for a role inside the car. The auto maker on Wednesday is unveiling a new version of its OnStar system to offer mobile-commerce services beyond navigation and entertainment. The system, dubbed OnStar Go, is designed to learn from users' behavior to deliver personalized offers from partners such as Exxon Mobil Corp. XOM -0.04 % For instance, the system might alert drivers who need fuel to make it to their next destination and point the way to Exxon Mobil stations en route. IBM CEO Ginni Rometty talks about how her company has changed its focus as the world has changed.

A startup bankrolled by Bill Gates is about to conduct the first public trials of high-speed body scanners powered by artificial intelligence (AI), the Guardian can reveal. According to documents filed with the US Federal Communications Commission (FCC), Boston-based Evolv Technology is planning to test its system at Union Station in Washington DC, in Los Angeles's Union Station metro and at Denver international airport. Evolv uses the same millimetre-wave radio frequencies as the controversial, and painfully slow, body scanners now found at many airport security checkpoints. However, the new device can complete its scan in a fraction of second, using computer vision and machine learning to spot guns and bombs. Homeland Security: 'be patient' as airport lines reach extreme lengths This means passengers can simply walk through a scanning gate without stopping or even slowing down – like the hi-tech scanners seen in the 1990 sci-fi film Total Recall.

When Watson answered the final question to win "Jeopardy!" in 2011, voice recognition and artificial intelligence software were just making their large consumer debut on mobile devices. At the start, these capabilities were engaging, interesting and even exciting, but sometimes more as a parlor game than a deeply functional application. Yet they've continued to improve at an accelerating rate and now demand our serious attention as productivity tools. We are now half a decade on, and cognitive computing is making its presence felt at a deeply functional business level -- not just at the gateway of the journey on our devices, but deep within the industry-process level. For instance, cognitive computing is having a real impact at the clinical-process level for healthcare, which was featured specifically in a segment on artificial intelligence on "60 Minutes."

I'm not saying that the magic pocket oracle we all carry around isn't great, but I think there is a philosophical disconnect between what it is and what it could be for us. Right now our technology is still trying to improve every tool except the one we use the most, our brain. At first this seems like a preposterous claim. Doesn't Google Maps let me navigate in completely foreign locations with ease? Doesn't Evernote let me off-load complicated knowledge into a magic box somewhere and recall it with photo precision whenever I need to?

Natural Language Processing (NLP) is a vast area of Computer Science that is concerned with the interaction between Computers and Human Language[1]. Within NLP many tasks are – or can be reformulated as – classification tasks. In classification tasks we are trying to produce a classification function which can give the correlation between a certain'feature' and a class . This Classifier first has to be trained with a training dataset, and then it can be used to actually classify documents. Training means that we have to determine its model parameters.

Microsoft has launched a new PC, hoping that it can bring back the dying category. The company's new desktop computer, named the Surface Studio, looks something like the iMac. And like Apple's computer, it is meant as an all-in-one solution for people looking for a PC – a big screen that is attached to all the computing parts. Unlike the iMac, the screen itself is touchscreen despite having a keyboard and a mouse. And that display is also the thinnest desktop monitor ever created, the company said.