To date, the instability of prognostic predictors in a sparse high dimensional model, which hinders their clinical adoption, has received little attention. Stable prediction is often overlooked in favour of performance. Yet, stability prevails as key when adopting models in critical areas as healthcare. Our study proposes a stabilization scheme by detecting higher order feature correlations. Using a linear model as basis for prediction, we achieve feature stability by regularising latent correlation in features. Latent higher order correlation among features is modelled using an autoencoder network. Stability is enhanced by combining a recent technique that uses a feature graph, and augmenting external unlabelled data for training the autoencoder network. Our experiments are conducted on a heart failure cohort from an Australian hospital. Stability was measured using Consistency index for feature subsets and signal-to-noise ratio for model parameters. Our methods demonstrated significant improvement in feature stability and model estimation stability when compared to baselines.

They are the APAC and Australian leaders of some of the largest, or fastest rising marketing tech, adtech and ecommerce companies. And they are passionate about helping their clients understand their own consumers using data analytics. So we figured it was time to turn the lens around. We used IBM's Personality Insight services in the Watson Developer Cloud to tell us a little bit about the personality of each of the following executives; Karen Stocks from Twitter, Ben Sharp from AdRoll, Liam Walsh from Amobee, Jodie Sangster from ADMA, Paul Robson from Adobe, Derek Laney from Salesforce, Paul Cross from Oracle, Matt Barrie from Freelancer and Ruslan Kogan from Kogan. Given their commitment to the cause of data-driven marketing we are sure they won't mind at bit.

Physicists at the Australian National University (ANU) have successfully completed an experiment to stop light, similar to the way Kylo Ren used the force to stop a laser blast. Jesse Everett from the Research School of Physics and Engineering (RSPE) and Australian Research Council (ARC) Centre of Excellence for Quantum Computation and Communication Technology at ANU, said controlling the movement of light was a critical step in developing future quantum computers. "Optical quantum computing is still a long way off, but our successful experiment to stop light gets us further along the road," Everett said. "It's pretty amazing to look at a sci-fi movie and say we actually did something that's a bit like that." Everett said quantum computers based on light could connect easily with communication technology such as optic fibres and had potential applications in fields such as medicine, defence, telecommunications, and financial services.

Researchers from New Zealand have restored the earliest known recording of computer-generated music, which was created nearly 65 years ago on a gigantic computer devised by the famous Alan Turing. Researchers from the University of Canterbury in Christchurch restored the recording created in 1951 using a BBC outside-broadcasting unit and a portable acetate disk. The recording, which begins with the United Kingdom's "God Save the Queen," also includes the nursery rhyme "Baa Baa Black Sheep" and the Glenn Miller hit "In The Mood." "Today all that remains of the recording session is a 12-inch single-sided acetate disc, cut by the BBC's technician while the computer played. The computer itself was scrapped long ago, so the archived recording is our only window on that historic soundscape," the researchers said in a statement Monday. The recording captured on the acetate disk was originally played on a massive computer, which occupied most of the ground floor of Turing's Computing Machine Laboratory.

In its quest to make itself indispensable, Uber is keen to slide itself into your daily commute. On Monday, the company announced a partnership in Australia with the travel planning app TripGo, which lets users request an Uber ride to the closest ferry terminal or train, bus or tram station in time for the next departure. The new service is available in Brisbane, Gold Coast, Melbourne, Newcastle, Perth, Sunshine Coast and Sydney. While the company would like to partner with other Australian transport apps, an Uber spokesperson told Mashable there are no current negotiations underway. With this collaboration, Uber is targeting what's known in transport planning parlance as the "first or last mile gap."

Disruption in the workforce is hardly a new phenomenon. Mechanisation of manufacturing, mass production and the advent of the internet and computers have all changed the way that work is done. Earlier waves of industrialisation have primarily affected low-skilled manual labour and past improvements in technology have typically made jobs at the lower end of the skills spectrum obsolete – for example, flight navigators but not pilots; typists but not data analysts. There is wide acceptance that this has led to productivity improvements and higher economic growth – new jobs were generated that led to improvements in standards of living. The benefits have overwhelmingly outweighed the costs and there has never been a better time to be a human being. The current wave, characterised by automation becoming smarter, machine-to-machine communication, artificial intelligence and continued technological improvements – and otherwise described at the fourth industrial revolution – still brings uncertainty and threatens a broader range of occupations and skill levels.

Intelligence is shaped by the survival requirements that an animal must face during its everyday life, according to cognitive ecology. Some birds can remember where they buried tens of thousands of nuts and seeds, which allows them to find them during the long winter months; a burrowing rodent can learn a complex underground maze with hundreds of tunnels in just two days; and a crocodile can have the presence of mind to carry sticks on her head and float them just below an area where herons are nesting, then pounce when an unwary bird swoops down to collect nesting material. Notwithstanding the liberties taken by filmmakers in popular movies like The Little Mermaid, Finding Nemo, and its sequel, Finding Dory, can fishes really think? When the tide goes out, frillfins like to stay near shore, nestled in warm, isolated tide pools where they may find lots of tasty tidbits. But tide pools are not always safe havens from danger. Predators such as octopuses or herons may come foraging, and it pays to make a hasty exit. But where is a little fish to go? Frillfin gobies deploy an improbable maneuver: They leap to a neighboring pool. How do they do it without ending up on the rocks, doomed to die in the sun? With prominent eyes, slightly puffy cheeks looking down on a pouting mouth, a rounded tail, and tan-gray-brown blotchy markings along a 3-inch, torpedo-shaped body, the frillfin goby hardly looks like a candidate for the Animal Einstein Olympics.

Earth's oceans are having a rough time right now. They're oily, hot, acidic, full of dead fish--and their levels are rising. But even though these things are true, it can be hard to grok (or muster up the will to care about) the oceans' subtle changes over decades. Every time you go to the beach, everything's still as blue and salty and vast as it ever was. But these changes directly impact human life (just ask the Marshall Islands). So to make the ocean's plight more relatable, a Swedish sustainability group is putting out a message that will hit you where it counts: right in the nerd.

Bibliographic analysis considers author's research areas, the citation network and paper content among other things. In this paper, we combine these three in a topic model that produces a bibliographic model of authors, topics and documents using a non-parametric extension of a combination of the Poisson mixed-topic link model and the author-topic model. We propose a novel and efficient inference algorithm for the model to explore subsets of research publications from CiteSeerX. Our model demonstrates improved performance in both model fitting and a clustering task compared to several baselines.

Sea lions are pretty cute animals already, but a bunch of them looking curiously at a drone camera? It'll make you squee inside. It's a sight captured by Australian photographer Jacqueline McGhie, who was in a boat with her boyfriend in Jurien Bay, Western Australia. They often spot sea lions playing in the water, so McGhie knows their behaviour pretty well. SEE ALSO: Watch Cerro the tortoise eat a watermelon cake for his 50th b'day "The Sea Lions remind me of puppies, I've swum with these particular sea lions before in the warmer months and they're always so curious and playful. They mimic you and show off with their ridiculously good underwater aerobatic skills," McGhie told Mashable via email.