It can be a pain to install phone apps you know you'll use just once or twice. The app runs on Google's servers instead of your phone. Only the parts you need get sent to your phone on an as-needed basis. If it works as Google envisions, without lags and other annoyances, users won't have to spend a few minutes downloading and installing that app and having it take up valuable space on the phone. The app maker needs to enable this feature, though.

Automation has been responsible for improvements in manufacturing productivity for decades. Advanced robotics will accelerate this trend. Machines, after all, can perform many manufacturing tasks more efficiently, effectively and consistently than humans, leading to increased output, better quality and less waste. And machines don't require health insurance, coffee breaks, maternity leave or sleep. The industrial world realizes this and robot sales have been surging, increasing 29 percent in 2014 alone, according to the International Federation of Robotics.

Lawyers can get a bad reputation for being slimy and conniving, but ROSS has neither of those qualities. Ask ROSS to look up an obscure court ruling from 13 years ago, and ROSS will not only search for the case in an instant -- without contest or complaint -- but it will offer opinions in plain language about the old ruling's relevance to the case at hand. Just about the only thing it can't do is fetch coffee. Not that anyone should blame it, seeing as ROSS is a piece of artificial intelligence software. It uses the supercomputing power of IBM Watson to comb through huge batches of data and, over time, learn how to best serve its users.

Following a similar business tactic that drug dealers have employed for ages, developer Blizzard is giving folks who check out the upcoming Warcraft movie a free, full, copy of World of Warcraft. That's assuming you see the movie at certain Regal Cinemas (which is running a promo to send folks to BlizzCon, as well), United Artists Theaters or Edwards Theaters here in the United States. The promo is supported abroad too, with Australia, Brazil, Europe, Southeast Asia and New Zealand all getting in on the action.

"I didn't expect the machine could learn to do the experiment itself, from scratch, in under an hour," said co-lead researcher Paul Wigley from the Australian National University (ANU) Research School of Physics and Engineering in a statement. "A simple computer program would have taken longer than the age of the universe to run through all the combinations and work this out," he added. Scientists wanted to recreate an experiment that won the 2001 Nobel Prize in Physics, which involved extremely cold gas trapped in a laser beam known as a Bose-Einstein condensate. The condensates "are some of the coldest places in the Universe, far colder than outer space, typically less than a billionth of a degree above absolute zero (-273.15 The experiment involved trapping 40 million atoms at the intersection between two laser beams. The team used magnetic fields to cool the atoms down to about five millionths of a degree above absolute zero. Scientists then used the AI algorithm to control the lasers during cooling, carefully tuning the power of the two lasers to allow the most energetic atoms to escape without losing hold of the coldest ones. The AI algorithm was able to do this ten times faster than a regular non-AI program. "It is cheaper than taking a physicist everywhere with you.

A group of researchers recently developed an AI program to assist them in a complex procedure for an experiment involving finely optimized conditions. But rather than simply assist, the AI showed enough proficiency to run the experiment on its own and faster than humans or previous programs designed for the experiment. "I didn't expect the machine could learn to do the experiment itself, from scratch, in under an hour," co-lead researcher Paul Wigley, a doctoral student at the Australian National University Research School of Physics and Engineering, said in a statement. The physicists from the ANU, University of Adelaide, and the University of New South Wales Australian Defence Force Academy, were attempting to recreate an experiment that won the 2001 Nobel Prize – creating a Bose-Einstein condensate, a super chilled gas trapped in between laser beams. Bose-Einstein condensates are able to reach temperatures so low that they are some of the coldest areas of the universe, in some cases less than a billionth of a degree above absolute zero, the temperature where all atoms stop moving.

According to SciFi canon, AI and Big Data might not be a good idea. In recent years, big data and artificial intelligence (AI) have received overwhelming attention, however the interesting – even obvious – connection between the two hasn't often been explored. It is the combination of big data and AI working together that is now enabling business leaders to deliver new insights, efficiencies and even new functions that haven't been possible before. This is evident in the increasingly useful role big data and AI are playing in a broad spectrum of traditionally outsourced functions such as recruitment, HR, finance and supply chain, through to security and IT. The combination has already had a major impact on how the stock market works, synthesising more and more data to the point at which some people believe it will eventually be able to accurately predict both market trends and human influences on the market.

A team of Australian physicists has employed a new research assistant in the form of an artificial intelligence (AI) algorithm to help set up experiments in quantum mechanics. For its first task, the algorithm took control of a delicate experiment to create a Bose-Einstein condensate – a weird state of matter that can form in certain atoms at ultracold temperatures. The algorithm didn't need specific training and was able to learn on the job. It developed its own model of the process and tweaking the parameters to get them just right. "I didn't expect the machine could learn to do the experiment itself, from scratch, in under an hour," said co-lead researcher Paul Wigley from the Australian National University in Canberra.

Paging HAL: What Will Happen When Artificial Intelligence Comes to Radiology? The myth of Hephaestus' golden handmaidens illustrates mankind's centuries-long fascination with artificial intelligence (AI). The god of the forge created his handmaidens, who could talk and perform even the most difficult tasks, to assist him in his labors, and many people have since speculated about the possible uses of AI and the forms it might take. More recently, noted scientists and futurists, such as Ray Kurzweil; Stephen Hawking, CH, CBE, FRS, FRSA; and Elon Musk, have discussed, debated, and dissected the possibilities and pitfalls of AI. With many AI advances coming in the past few years, some people are beginning to wonder whether it will eventually replace radiologists.

Australian physicists, perhaps searching for a way to shorten the work week, have created an AI that can run and even improve a complex physics experiment with little oversight. The research could eventually allow human scientists to focus on high-level problems and research design, leaving the nuts and bolts to a robotic lab assistant. The experiment the AI performed was the creation of a Bose-Einstein condensate, a hyper-cold gas, the process for which won three physicists the Nobel Prize in 2001. It involves using directed radiation to slow a group of atoms nearly to a standstill, producing all manner of interesting effects. "It did things a person wouldn't guess, such as changing one laser's power up and down, and compensating with another," said ANU's Paul Wigley, co-lead researcher, in a news release.