Google has open sourced its language parsing model, SyntaxNet, calling the English version Parsey McParseface. The system understands human language with an incredible degree of accuracy, but attention has centred around its choice of name, which comes after people voted to name a science research ship Boaty McBoatface - it was in fact named after Sir David Attenborough. The open sourcing of Google's parsing model means that the broader community can employ the tool to up the game of artificial intelligence (AI). This means that machines could understand sentences from a standard database of English language journalism, the first step in their journey to take over the world. "At Google, we spend a lot of time thinking about how computer systems can read and understand human language in order to process it in intelligent ways," explained Google senior staff research scientist, Slav Petrov.

Nvidia's (NVDA) AI technology with Facebook (FB), Alphabet (GOOGL) and Microsoft (MSFT) is powering "superhuman" levels of inference, or artificial intelligence, Nvidia CEO Jen-Hsun Huang said Thursday, after the Tesla Motors (TSLA) partner blasted Q1 views on record deep-learning sales. "The truth is that nobody really knows how big this deep-learning market is going to be," Huang said on the company's earnings conference call. He referred specifically to gains that customer Microsoft was making with AI and deep learning. "The work that recently was done at Microsoft Research, they've achieved superhuman levels of inferencing … of image recognition and voice recognition that's really kind of hard to imagine," he said, "and these networks are now huge." In midday trading on the stock market today, Nvidia stock was up more than 14% and hit an all-time high at 40.30.

Last October, when Elon Musk gave Nvidia's CEO the 7th Tesla Model X delivery, we knew it was time to watch their stock (NVDA). In addition, we have been looking for investments that capitalize on autonomous cars, and/or hedge the major trends in artificial intelligence and automation. Today, strong earnings and optimism for Nvidia's "miracle" deep learning chip enabled their stock to break its all-time high from 2007. NVDA is now up by over 20% year-to-date, after gaining 66% last year. ETF PM currently has long positions in Nvidia (NVDA).

Apprehending criminals on the run proves to be a tricky task, especially in a big city. With several exit strategies readily available, criminals can escape on foot or via public transport (such as via bus or subway), or by driving a car. On top of this, there are shops, alleyways, and intersections galore. Of course, there are also a ton of other people. All of this creates a high risk of failure for police.

The boom in AI promises to enrich our lives. AI assistants keep our schedules in order; robot "crew" members help us on cruises; and "swarm AI" even offers the chance for us to win big in the gambling world. But there's a dark side of the coin as well: AI that can cause great harm. While much thought has been devoted to the dangers of AI, and centers like the Future of Life Institute in Cambridge, Ma., and the Future of Humanity Institute at Oxford University are focusing resources on how to support the creation of'safe' AI, few have attempted to intentionally create malevolent AI. Go with TechRepublic's Steve Ranger on an inside look at the gold-plated gadget market that's received a big boost from Apple.

In a rare move, Apple has invested 1 billion in popular Chinese ride sharing service Didi Chuxing. The investment gives Apple an opportunity to learn more about its second-largest market, CEO Tim Cook said. "We are making the investment for a number of strategic reasons, including a chance to learn more about certain segments of the China market," Cook said in an interview with Reuters. "Of course, we believe it will deliver a strong return for our invested capital over time as well." The move also comes after billionaire investor Carl Icahn sold his position in Apple, largely due to the company's lagging performance in the region.

Roughly half of all Web traffic comes from bots and crawlers, and that's costing companies a boatload of money. That's one finding from a report released Thursday by DeviceAtlas, which makes software to help companies detect the devices being used by visitors to their websites. Non-human sources accounted for 48 percent of traffic to the sites analyzed for DeviceAtlas's Q1 Mobile Web Intelligence Report, including legitimate search-engine crawlers as well as automated scrapers and bots generated by hackers, click fraudsters and spammers, the company said. DeviceAtlas is owned by Afilias, which calls itself the world's second-largest Internet domain name registry. Bot technologies have long been known to account for a significant amount of traffic, but today they're becoming more malevolent--and more expensive, said Ronan Cremin, CTO of DotMobi, a mobile content delivery company also owned by Afilias.

Google will release the code to it's SyntaxNet language understanding A.I. Language is a big ambiguous soup. Words have different meanings in different contexts, homographs exist, and humans regularly warp the established lexicon with slang. It's almost a miracle that we've built computers that can understand us at all. Systems for understanding human language have advanced significantly in the last few years, as researchers have improved approaches to artificial intelligence like deep learning. These methods set algorithms crawling through immense troves of data to draw connections between words and phrases.

Machine Learning is not a new subject but is becoming an increasingly hotter topic. We have three speakers to each bring a different spin on the subject and therefore it should be a night where there will be something for everyone, whether you are Data Scientist, Analyst or Digital Marketer. Harvinder leads a team of analysts to deliver data-driven customer insight, marketing optimisation and predictive analytics for Moneysupermarket from one of the largest customer databases in the UK with records for 23 million unique individuals. Harvinder was previously Insight Director for Tesco Clubcard at Dunnhumby and Senior Manager for Customer Strategy and Insights at Lloyds Banking Group.He is passionately interested in Data Science, Machine Learning, Big Data technologies and how they can be used to improve Customer Experience. Harvinder will be showing some live models used at MoneySuperMarket.