Government
AI-powered pathology is transforming cancer care
In May, Sundar Pichai, CEO of Google, discussed AI applications for digital pathology in his keynote speech to an audience of millions at Google's annual I/O event. Five weeks earlier, the FDA announced it had approved the first whole slide imaging system for primary diagnostic use in pathology. Both events point to the future of pathology and laboratory medicine: Software will soon dominate. Over the past 20 years, software has taken over the world. Retail was dominated by Amazon, Netflix put Blockbuster out of business, and Uber used software to take over the taxi industry.
Cyber defence is being transformed by autonomous response
Discussions around AI cyber defence have traditionally focused on the ability of advanced machine learning to detect the earliest signs of an unfolding attack, including sophisticated, never-seen-before threats. This real-time threat detection overcomes the shortcomings of legacy tools and cuts through the noise in live, complex networks to accurately identify threatening anomalies, including'unknown unknowns'. But while the capability to identify the entire spectrum of threats in their nascent stages before a problem becomes a crisis is incredibly powerful in its own right, it also serves as a fundamental enabler for autonomous response measures, which truly deliver on the promise of artificial intelligence in cyber defense. Before the advent of AI cyber defense, the principal obstacle to achieving autonomous response was determining the exact action that is needed to stop an infection from spreading, while keeping the business operational. By their very nature and definition, traditional approaches to cyber security cannot make the jump from detection to response.
YouTube using AI to spot extremist videos even before they are flagged - CIOL
Google-owned YouTube has revealed that it flags more than 80 percent of the extremist videos uploaded on the website. The violent videos were flagged by its new spam-fighting artificial intelligence tools. The Google-owned company began applying machine learning algorithms to its videos in June so that it could quickly spot hateful content and flag it to human reviewers. The company wrote in a blog post, "Always used a mix of human flagging and human review together with technology" to help it spot violent content. The program introduced in June added machine learning to flag violent extremist content, which would then be reviewed by humans."
AI news: CBI urges creation of AI commission in 2018
The CBI (Confederation of British Industry) is asking the government to launch an AI commission in 2018 to examine the effect of artificial intelligence on jobs. The CBI, an organisation that speaks on behalf of 190,000 businesses across the UK, has released a report titled'Disrupting the Future' which highlights how firms and the government must pave the way for the adoption of new technologies. It has called on the government to establish a joint commission in early 2018 involving business, employee representatives, academics and a minister to examine the impact of AI on people and jobs. It also hopes the commission will be able to set out an action plan to outline how to raise productivity, spread prosperity and open up new paths to economic growth. Josh Hardie, CBI deputy director-general, said: "The UK must lead the way in adopting these technologies but we must also prepare for their impacts. That's why we urge the Government to set up a joint commission on Artificial Intelligence in 2018, involving both business and employee representatives, to better understand the impact on people's lives, jobs and our future economic growth." The group said that only a third of businesses say their company has the skills and capabilities needed to adopt AI technologies and that blockchain can be used across sectors and will require regulator co-ordination to set clear standards. Furthermore, the main concern for businesses looking to use the IoT is the security and privacy of the devices involved.
Researchers analyze Kuroda's facial microexpressions to predict central bank policy moves
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).
Pakistan Militant Group Finds Likely Replacement After U.S. Drone Strike Kills Leader
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.
US Drone Strike Targets Al-Shabab After Somalia Attack
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.
How Adversarial Attacks Work – XIX.ai
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.
In Kuroda's face - researchers find ways to predict central bank changes
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).
Drone video shows devastation in Raqqa, Syria
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.