We'd like to invite you to participate in an unusual machine learning competition -- Black Box Challenge (blackboxchallenge.com/eng). The conception is simple -- one need to program an agent that can play a game with unknown rules. At each time step agent is given an environment state vector and has a few possible actions. The rewards may be delayed and have stochastic nature -- the same actions can lead to different rewards. The competition is created with support of Mail.ru (one of the largest Russian Internet companies) and Data-Centric Alliance (DCA is a Russian company specializing on big data and high-load systems), and the winners will be rewarded with pleasant prizes: You can read about the problem in detail at the site.(blackboxchallenge.com/eng)

This paper brings together the strengths of analyst intuition and machine learning, and ultimately drives down both false positives and false negatives,

Neither humans nor AI have proved overwhelmingly successful at maintaining cybersecurity on their own, so why not see what happens when you combine the two? That's exactly the premise of a new project from MIT, and it's achieved some pretty impressive results. Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and machine-learning startup PatternEx have developed a new platform called AI2 that can detect 85 percent of attacks. It also reduces the number of "false positives" -- nonthreats mistakenly identified as threats -- by a factor of five, the researchers said. The system was tested on 3.6 billion pieces of data generated by millions of users over a period of three months.

American drones fired more ammunition last year than manned warplanes for the first time, according to new data analyzed by Reuters. The news comes three years after U.S. President Barack Obama said that a drawdown of U.S. military forces after 2014 would "reduce the need for unmanned strikes." The data shows just how much American forces have come to rely on the unmanned vehicles to carry out missions in the Middle East and abroad, even while human rights organizations and some foreign governments have raised concerns over what they call an unnecessary amount of civilian casualties. "In recent months it's definitely flowed more," Lieutenant Colonel Michael Navicky, who commands the Air Force's 62nd Expeditionary Reconnaissance Squadron, said. "We've seen increased weapons deployment in the past few months, and the demand is insatiable."

Crescent Dunes looks and sounds a bit like an invention lifted from a science fiction novel. Deep in the Nevada desert more than 10,000 mirrors--each the size of a highway billboard--neatly encircle a giant 640-foot tower. It looks like it might be used to communicate with aliens in deep space. But the engineers and financiers behind the facility, located in the desert about halfway between Las Vegas and Reno, say the power plant's promise is anything but fiction. The solar power facility built and operated by the company SolarReserve can power 75,000 homes.

NEW YORK, NY - NOVEMBER 10: United States Attorney for the Southern District of New York Preet Bharara speaks at a news conference where he announced charges against three individuals for offenses related to the computer hacking of numerous financial institutions, financial news publishers, and other companies on November 10, 2015 in New York City. If companies don't adequately protect their data, cyber attacks can do a lot of damage. Fortunately, a solution to this issue can be found in new applications of the artificial intelligence for predicting hacker attacks. From the security breach leaving VTech toys vulnerable to ransomeware holding hospital records hostage, lately cyber attacks have been in the news a lot. Companies make efforts to better protect their data, but oftentimes they cannot detect that a system is compromised until it's too late.

Cyber security is a major challenge in today's world, as government agencies, corporations and individuals have increasingly become victims of cyber attacks that are so rapidly finding new ways to threaten the Internet that it's hard for good guys to keep up with them. A group of researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) are working with machine-learning startup PatternEx to develop a line of defense against such cyber threats.The team has already developed an Artificial Intelligence system that can detect 85 percent of attacks by reviewing data from more than 3.6 Billion lines of log files each day and informs anything suspicious. The new system does not just rely on the artificial intelligence (AI), but also on human input, which researchers call Analyst Intuition (AI), which is why it has been given the name of Artificial Intelligence Squared or AI2. The system first scans the content with unsupervised machine-learning techniques and then, at the end of the day, presents its findings to human analysts. The human analyst then identifies which events are actual cyber attacks and which aren't. This feedback is then incorporated into the machine learning system of AI2 and is used the next day for analyzing new logs.

With the latest breakthroughs in artificial intelligence a whole new concept of food may soon radically change what we eat. And at the same time, some experts believe it could reduce global warming. If we were to start from scratch, and we want to figure out the most efficient way to deliver nutrition to the 7.1 billion people on this planet, the answer wouldn't be animals. Science would tell you to do something different. No longer based on animal ingredients, this is a food entirely based on plants - although it looks and tastes like the classic food.

In the ongoing battle against cyber attacks, a man-machine collaboration could offer a new path to security. To keep up with cyber threats, the cybersecurity industry has turned to assistance from unsupervised artificial intelligence systems that operate independently from human analysts. But the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology in Cambridge, Mass., in partnership with the machine-learning startup PatternEx, is offering a fresh approach. Their new program, AI2, draws on what humans and machines each do best: It allows human analysts to build upon the large scale pattern recognition and learning capabilities of artificial intelligence. The industry standard right now is unsupervised machine learning, CSAIL research scientist Kalyan Veeramachaneni, who helped develop the program, says in a phone interview with The Christian Science Monitor.

KANDAHAR, AFGHANISTAN – Drones fired more weapons than conventional warplanes for the first time in Afghanistan last year and the ratio is rising, previously unreported U.S. Air Force data show, underlining how reliant the military has become on unmanned aircraft. The trend may give clues to the U.S. military's strategy as it considers withdrawing more troops from the country, while at the same time shoring up local forces who have struggled to stem a worsening Taliban insurgency. U.S. President Barack Obama said in 2013 that the Afghan drawdown after 2014 and progress against al-Qaida would "reduce the need for unmanned strikes," amid concerns from human rights groups and some foreign governments over civilian casualties. On one level, that has played out; the number of missiles and bombs dropped by drones in Afghanistan actually fell last year, largely because the U.S.-led NATO mission ceased combat operations at the end of 2014 and is now a fraction of the size. Yet as the force has shrunk, it has leaned on unmanned aircraft more than ever, the air force data reveal, with drone strikes accounting for at least 61 percent of weapons deployed in the first quarter of this year.