We present a novel method for hierarchical topic detection where topics are obtained by clustering documents in multiple ways. Specifically, we model document collections using a class of graphical models called hierarchical latent tree models (HLTMs). The variables at the bottom level of an HLTM are observed binary variables that represent the presence/absence of words in a document. The variables at other levels are binary latent variables, with those at the lowest latent level representing word co-occurrence patterns and those at higher levels representing co-occurrence of patterns at the level below. Each latent variable gives a soft partition of the documents, and document clusters in the partitions are interpreted as topics. Latent variables at high levels of the hierarchy capture long-range word co-occurrence patterns and hence give thematically more general topics, while those at low levels of the hierarchy capture short-range word co-occurrence patterns and give thematically more specific topics. Unlike LDA-based topic models, HLTMs do not refer to a document generation process and use word variables instead of token variables. They use a tree structure to model the relationships between topics and words, which is conducive to the discovery of meaningful topics and topic hierarchies.

Stunning composite image was created from ten frames Shows ISS transiting the sun at five miles per second on Saturday, Dec. 17, 2016 Shows ISS transiting the sun at five miles per second on Saturday, Dec. 17, 2016 Taken from California, it shows the International Space Station, with a crew of six onboard, in silhouette as it transits the sun at roughly five miles per second on Saturday, Dec. 17, 2016. Struggle to find the right emoji already? Facebook adds... Now robots can have KIDS: Researchers create machines that... Want to make yourself appear more masculine? Wear deodorant,... Giant space factories and orbiting solar panels could... Struggle to find the right emoji already? Facebook adds... Now robots can have KIDS: Researchers create machines that... Want to make yourself appear more masculine?

There are lots of economic opportunities coming thanks to gains in artificial intelligence, the White House said in a report today, but that same report warns that millions of jobs could be displaced while the technology improves. Artificial intelligence, the report notes, accelerates trends seen since the industrial revolution, as people lose jobs to automation and are forced to learn new skills to find new career paths. How fast we'll see those impacts is the question. The report notes that researchers' estimates about jobs threatened ranges widely from 9 to 47 percent, and notes that because "AI is not a single technology, but rather a collection of technologies that are applied to specific tasks, the effects of AI will be unevenly felt throughout the economy." That said, the general assessment is that the jobs hardest hit are those that are more easily automated, which disproportionately impacts people with less educational attainment.

The year had many casualties, and some of them were jobs. The site CareerCast came out with a new report on the jobs that, as of this month, aren't quite dead but definitely endangered. It's a mix of the jobs you would expect (typists, mail carriers) and those that may surprise (DJs, computer programmers). Cashiers don't make the list, but Amazon Go hasn't opened its first store yet. The major causes are familiar: automation and outsourcing.

The TL;DR version is: pretty much what they did in 2016. Update popular hardware, expand services, steer clear of new product categories and make a boatload of money. However, buried inside those pat and rather obvious observations is a company that may be in search of its mojo. There is nothing wrong with Apple or its offerings, but the company that reinvented and reinvigorated numerous product categories has spent the last two years polishing its own Apples. In my totally anecdotal Twitter poll on which word best described Apple in in 2016 -- Aggressive, Innovative, Slipping, Successful -- Slipping won by a commanding margin.

Building the AI'butler' is Zuckerberg's personal challenge for 2016 The 31-year-old said: 'You can think of it kind of like J.A.R.V.I.S in Iron Man' His plans include teaching the assistant to let friends into his home by looking at their faces when they ring the doorbell, for example Building the AI'butler' is Zuckerberg's personal challenge for 2016 The 31-year-old said: 'You can think of it kind of like J.A.R.V.I.S in Iron Man' The video shows Zuckerberg using the Jarvis AI throughout the day for everything from getting dressed to making toast. Watch as Nasa shake tests the Orion capsule that could take... Airlines add'fire containment bags' for overheating phones... Google and Facebook to install giant 8,000-mile internet... EXCLUSIVE: Royal Navy trials robot spy boats that can scour... Watch as Nasa shake tests the Orion capsule that could take... Airlines add'fire containment bags' for overheating phones... Google and Facebook to install giant 8,000-mile internet... EXCLUSIVE: Royal Navy trials robot spy boats that can scour... The AI is able to do everything from recognise friend's faces at the door to work out who is asking it questions - and Zuckerberg said he's even connected up a 1950s toaster and a t-shirt cannon to it. Zuckerberg also programmed the system to play music. Zuckerberg's daughter, Max is also able to use the AI to play. The project is modelled on the J.A.R.V.I.S. stands for (Just A Rather Very Intelligent System) system used by Tony Stark in the Iron Man films.

Michael Rose and An Wang from The Mixing Bowl recently spoke about labor challenges in the food and agriculture markets with Sonny Ramaswamy, Director, National Institute of Food and Agriculture (NIFA) at the United States Department of Agriculture. NIFA provides leadership and funding for programs that propel cutting-edge discoveries, from research laboratories to farms, classrooms, and communities, to advance agriculture-related sciences. The Mixing Bowl: What are some of the most pressing issues that agricultural and food workers face in America? Sonny Ramaswamy: We have a challenging situation in regard to labor, whether it be on the farm, in a processing or packaging facility, or in the service sector to operate restaurants and grocery stores. These challenges travel from the farm to the dinner table.

Bizarre robot'lips' let you kiss long-distance lovers from anywhere in the world'Kissenger' device attaches to your phone and matches your partner's kiss Silicone lips move in real-time with theirs through six micro-sensors The high-tech mouthpieces even let you smell your partner from afar Developers plan to create full-sized snogging silicon heads in the future'Kissenger' device attaches to your phone and matches your partner's kiss A robot set of lips is promising to put the passion back into long-distance relationships. The Lovotics Kissenger is a silicone mouthpiece that allows you to smooch your partner from anywhere in the world. The bizarre device connects to your phone and will match a partner's lip movements and pressure in real-time. As well as feeling the kiss of a long-distance loved one, the device even lets you smell them. Scientists have created silicon robot lips that let you kiss someone from anywhere in the world.

The computer that can tell if you're pure or flirty just by your LOOKS! Artificial intelligence can predict a woman's personality, say researchers Researchers from Shanghai said they had developed a new AI programme It could tell if a woman has'positive' or'negative' traits based on her looks The team said they used images of 3,163 women to train the neural network They had also claimed their AI could tell if a person is a criminal by their looks It could tell if a woman has'positive' or'negative' traits based on her looks Chinese researchers claimed they had trained an AI computer to predict a woman's personality solely based on her looks (file photo) Shocking wedding footage shows bridesmaid being groped by... Hundreds of flights diverted, school cancelled and motorways... Controversy after a Chinese middle school introduces a new... Terrifying footage shows huge fire tearing through a... Shocking wedding footage shows bridesmaid being groped by... Hundreds of flights diverted, ...

Algorithms use ratings, rankings and recommendations to present us with items Before items can be ranked, they need a measure by which they can be ordered This is really a rating of each item's quality according to some criterion With ranked lists in hand, websites may turn around and make recommendations This is really a rating of each item's quality according to some criterion This holiday season, when we Google for the most trending gifts, compare different items on Amazon or take a break to watch a holiday movie on Netflix, we are making use of what might be called'the three R's' of the Internet Age: rating, ranking and recommending Apple's new AirPods are tough to recycle: Breakdown reveals... How to win like Andy Murray: Adversity and hardship could be... Does hurting a girlfriend's CAT make you more immoral than... The root of human kindness is NOT in our ancestors:... Apple's new AirPods are tough to recycle: Breakdown reveals... How to win like Andy Murray: Adversity and hardship could be... Does hurting a girlfriend's CAT make you more immoral than... The root of human kindness is NOT in our ancestors:... Websites' algorithms use the'new 3 Rs' to combine, process and synthesize information before presenting it to us. AMAZON'S ALGORITHM DOESN'T ALWAYS GIVE THE BETTER PRICE Before items can be ranked, they need a measure by which they can be ordered This is really a rating of each item's quality according to some criterion With ranked lists in hand, websites may turn around and make recommendations Amazon has mechanisms in place to screen out these sorts of reviews – for example, by requiring a purchase to have been made from a given account before it can submit a review. The prime example of recommendation systems is Netflix's method.