For decades, economists have tried to guess central bank policy direction by studying subtle changes in official language -- now, researchers are finding new clues on policy, not in the words of central bankers but in their faces. In Japan, two artificial intelligence researchers, one from Nomura Securities and the other from Microsoft, are using software to analyze split-second changes in the facial expressions of Bank of Japan Gov. Haruhiko Kuroda at his post-meeting news conferences. Their study found that Kuroda showed fleeting signs of "anger" and "disgust" at news conferences that preceded two recent major policy changes -- the January 2016 introduction of negative interest rates and the adoption of the so-called yield curve control policy in September last year. The implication is that Kuroda was beginning to sense the constraints of existing policies about six or seven weeks before the central bank's board actually decided to change them, the researchers concluded. The research was presented last weekend to a subcommittee meeting of the Japanese Society for Artificial Intelligence (JSAI).

Khorasini's killing follows a slight thawing in relations between Islamabad and Washington, seemingly sparked by the Pakistan army last week freeing a U.S.-Canadian couple and their three children after five years in captivity. The family was held by the Haqqani network, an Afghan Taliban-allied militant group.

The U.S. has stepped up its military involvement in the Horn of Africa nation since President Donald Trump approved expanded military operations against the group early this year. The U.S. has carried out at least 19 drone strikes in Somalia since January, according to The Bureau of Investigative Journalism, which tracks U.S. drone strikes in a number of countries.

Recent studies by Google Brain have shown that any machine learning classifier can be tricked to give incorrect predictions, and with a little bit of skill, you can get them to give pretty much any result you want. This fact steadily becomes worrisome as more and more systems are powered by artificial intelligence -- and many of them are crucial for our safe and comfortable life. Lately, safety concerns about AI were revolving around ethics -- today we are going to talk about more pressuring and real issues. Machine learning algorithms accept the input in a form of numeric vectors. Designing an input in a specific way to get the wrong result from the model is called an adversarial attack.

TOKYO (Reuters) - For decades, economists have tried to guess central bank policy direction by studying subtle changes in official language -- now, researchers are finding new clues on policy, not in the words of central banker but in their faces. In Japan, two artificial intelligence researchers, one from Nomura Securities and the other from Microsoft (NASDAQ:MSFT), are using software to analyze split-second changes in the facial expressions of Bank of Japan Governor Haruhiko Kuroda at his post-meeting press conferences. Their study found that Kuroda showed fleeting signs of "anger" and "disgust" at news conferences that preceded two recent major policy changes -- the January 2016 introduction of negative interest rates and the adoption of the so-called "yield curve control" policy September last year. The implication is that Kuroda was beginning to sense the constraints of existing policies about six or seven weeks before the central bank's board actually decided to change them, the researchers concluded. The research was presented last weekend to a subcommittee meeting of the Japanese Society for Artificial Intelligence (JSAI).

RAQQA, Syria – Drone footage from the northern Syrian city of Raqqa shows the extent of devastation caused by weeks of fighting between Kurdish-led forces and the Islamic State group. Footage from Thursday shows the bombed-out shells of buildings and heaps of concrete slabs lay piled on streets littered with destroyed cars. Entire neighborhoods are seen turned to rubble, with little sign of civilian life. The U.S.-backed Kurdish-led Syrian Democratic Forces announced they have driven Islamic State group militants out of the city after weeks of fighting. The spokesman for the coalition, Col. Ryan Dillon, tweeted on Thursday that the SDF has cleared 98 percent of the city, adding that some militants remain holed up in a small pocket east of the city's athletic stadium.

Britain's biggest employers are calling for a commission to examine the impact of artificial intelligence on jobs. Amid predictions of a workplace revolution threatening one in five jobs across the UK, the CBI is urging Theresa May to launch the commission from early 2018. It said companies and trade unions should be involved and the commission should help to set out ways to increase productivity and economic growth as well looking into the impact of AI. The business lobby group said almost half of firms were planning to devote resources to AI, while one in five had already invested in the technology in the past year. Companies are increasingly using computers to scour vast datasets in order to spot inefficiencies, while they are also employing machines to control the flow of activity in warehouses and factories and to take meter readings.

The CERT Division of Carnegie Mellon University's Software Engineering Institute has published an updated list of technologies that might give us headaches in the security department. The latest report can be considered an addendum to the CERT/CC 2016 Emerging Technology Domains Risk Survey. One of the goals of this report is to help the Department of Homeland Security United States Computer Emergency Readiness Team (US-CERT) "make an informed decision about the best areas to focus resources for identifying new vulnerabilities, promoting good security practices, and increasing understanding of systemic vulnerability risk." Understanding trends and emerging technologies can help information security professionals, leaders of organizations, and others interested in information security to anticipate and prepare for such vulnerabilities. This technology is still developing and has only one proven business model to date, which is Bitcoin itself.

The dataset of scans is from more than 30,000 patients, including many with advanced lung disease. The NIH Clinical Center recently released over 100,000 anonymized chest x-ray images and their corresponding data to the scientific community. The release will allow researchers across the country and around the world to freely access the datasets and increase their ability to teach computers how to detect and diagnose disease. Ultimately, this artificial intelligence mechanism can lead to clinicians making better diagnostic decisions for patients. NIH compiled the dataset of scans from more than 30,000 patients, including many with advanced lung disease.

Machine learning algorithms work blindly towards the mathematical objective set by their designers. It is vital that this task include the need to behave ethically. Such systems are exploding in popularity. Companies use them to decide what news you see and who you meet online dating. Governments are starting to roll out machine learning to help deliver government services and to select individuals for audit.