Electronics giant Samsung on Monday said it will buy U.S. car and audio systems supplier Harman International for $8 billion. South Korean electronics giant Samsung looks to very quickly get up to speed in the highly-competitive smart car business with its $8 billion acquisition of U.S. car and audio systems supplier Harman International The all-cash deal will see Samsung buy the Stamford, Conn.-headquartered firm for $112.00 per share. It is the biggest acquisition in Samsung's history, the company said. Automotive electronics is expected to grow to more than $100 billion by 2025, estimates Samsung, which has made the segment a strategic priority. But the electronics titan -- hit in recent weeks by the recalls of its Galaxy Note 7 smartphone and some washing machines with tops that could detach -- is playing catchup in smart cars to competitors such as Apple, which has a CarPlay feature available in a growing number of vehicles, and Google and its Android Auto in-car platform.

BigML's Fall 2016 Release is here! Join us on Tuesday, November 29, at 10:00 AM PST (Portland, Oregon / GMT -08:00) / 07:00 PM CET (Valencia, Spain / GMT 01:00) for a FREE live webinar to get a first look at the latest version of BigML! We'll be focusing on Topic Models, the latest resource that helps you […] Source link

Even before they began to graduate from college, millennials drove changes at work, from management and recruiting practices to the design of office interiors. But companies are still adapting and figuring out what matters most to this large demographic and employee base. Now, a tech startup called Zugata has raised $7 million in Series A venture funding to replace the crusty old performance review with something more motivating to this group than a twice-a-year, managerial write-up. Investors in Zugata's new round included Canaan Partners, General Catalyst and Redpoint Ventures. Founded in 2014, Palo Alto-based Zugata developed software as a service that automatically figures out who employees work with most, and then helps them gather feedback from each other, directly, without managers or HR departments eavesdropping.

Would you bring your dead spouse back to life with VR? Researchers say simulations are the'evolution of bereavement' Researcher launched a project to make simulations of the dead a reality He says technology is the'next step in the evolution of bereavement' Simulations could capture mannerisms and personality of the deceased He says technology is the'next step in the evolution of bereavement' It once existed solely through the narratives of science fiction, an idea that lacked the technology to make it possible – but now, virtual and augmented reality could allow us to communicate with the dead. The incredible swirls of Saturn's giant hexagonal storm... Lightning strikes seen from space could soon make weather... The curse of the competitive male: Being flashy helps wins... The incredible swirls of Saturn's giant hexagonal storm... Lightning strikes seen from space could soon make weather... The curse of the competitive male: Being flashy helps wins...

And could software design book covers that could be judged--correctly--by humans? Research in Japan says maybe. 'Designed To Be Judged' At At MIT Technology Review, an article from looks at work being done by Brian Kenji Iwana and Seiichi Uchida at Kyushu University in Japan. According to the report, they've trained a deep neural network to study book covers--to see if the network can identify genre. "Book covers are designed to give readers an idea of the content," after all, the report points out. "Good book covers are designed to be judged.

A good night's sleep really DOES pay off: One extra hour in bed a week could increase your annual salary by 5% It appears that a lack of sleep could be more costly than ever realised. Adult FriendFinder is HACKED: Love rats¿ dirty secrets may... Sex with robots will be'mind blowing': Expert says androids... Move over Spotify: Google Play Music now knows what you want... Bathroom breakthrough as researchers reveal'splash free'... Adult FriendFinder is HACKED: Love rats¿ dirty secrets may... Sex with robots will be'mind blowing': Expert says androids... Move over Spotify: Google Play Music now knows what you want... Bathroom breakthrough as researchers reveal'splash free'... The researchers focused on time zones where sunset times vary from east to west. Because there shouldn't be differences between workers across the time zone, other than the amount of time they sleep, researchers used this variation to estimate how much sleep affects wages SNL mocks confident Clinton supporters with Dave Chappelle Dashcam footage captures moment van swerves before crashing Havelock resident shocked as he films earthquake hitting NZ Adorable boxer dog jumps far better than the John Lewis dog Trump supporter spews ignorant racist rant at young woman Moment of impact as earthquake rattles home in Wellington Clinton makes final appearance at campaign headquarters The moment 7.8 magnitude earthquake hits New Zealand Malcolm Turnbull accuses Lisa Wilkinson of'interrogating' him Chili's manager snatches veteran's free meal after complaint Amazing baby Ibex cling to wall for safety as a fox waits nearby The moment 7.8 magnitude earthquake hits New Zealand Malcolm Turnbull accuses Lisa Wilkinson of'interrogating' him Trump says he will'immediately' deport two to three million... 'Don't be afraid': Trump looks to reassure divided America... 'What the f**? The views expressed in the contents above are those of our users and do not necessarily reflect the views of MailOnline.

The day before the election, as millions of Americans were feeling confident that the vast majority of the country shared their opinions, a pair of researchers at the University of Southern California Information Sciences Institute published a paper that looked closely at something many of us ignored: the provenance of political tweets. Where do they come from? How many are, in reality, made by humans? And if not, who is designing these crude straw-bots? Analyzing Twitter during three televised debates, they discovered that 20% of all political tweets were made by bots.

Google Play Music, Google's music streaming service, is getting smarter. On Monday, an update to the Google Play Music app will kick in a new feature that can predict what you want to hear next. In fact, Google is so confident in the app's accuracy, that it completely revamped the welcome screen on Play Music so you can just tap to start listening to a playlist suited for you based on the time, your location, and a variety of other factors. Google says it's able to accomplish this through machine learning, the technology that's starting to power a lot of intelligent services Google makes like Google Photos and the new Google Assistant. It also plays into Google's broader mission to use machine learning and artificial intelligence in all of its products.

How do you feel about conversations with bots so far? Are they engaging, disappointing or interesting? For bot makers, there are lots of challenges in crafting more engaging bots. Challenge 1: Getting inspiration for how to build your bot based on how others built theirs. You can't just search for bots based on the meta details in conversations, because there isn't such a database.

Of the vast wealth of information unlocked by the Internet, most is plain text. The data necessary to answer myriad questions--about, say, the correlations between the industrial use of certain chemicals and incidents of disease, or between patterns of news coverage and voter-poll results--may all be online. But extracting it from plain text and organizing it for quantitative analysis may be prohibitively time consuming. Information extraction--or automatically classifying data items stored as plain text--is thus a major topic of artificial-intelligence research. Last week, at the Association for Computational Linguistics' Conference on Empirical Methods on Natural Language Processing, researchers from MIT's Computer Science and Artificial Intelligence Laboratory won a best-paper award for a new approach to information extraction that turns conventional machine learning on its head.