FILE - In this Aug. 26, 2016, file photo, a one-month dosage of hormonal birth control pills is displayed in Sacramento, Calif. The Trump administration's new birth control rule is raising questions among some doctors and researchers. They say it overlooks known benefits of contraception while selectively citing data that raise doubts about effectiveness and safety. Recently issued rules allow more employers to opt out of covering birth control as a preventive benefit for women under former President Barack Obama's health care law.(AP

Washington state sued President Trump on Monday over his decision to let more employers claiming religious or moral objections opt out of providing no-cost birth control to women. Gen. Bob Ferguson, who successfully sued to block Trump's initial travel ban early this year, announced his latest lawsuit on Monday, three days after the new rules were issued. Other Democratic-leaning states, including Massachusetts and California, sued on Friday, as did the American Civil Liberties Union. Trump's policy is designed to roll back parts of former President Obama's healthcare law, which required that most companies cover birth control as preventive care for women, at no additional cost. Among those Food and Drug Administration-approved methods is the morning-after pill, which some religious conservatives call an abortion drug even though scientists say it has no effect on pregnant women. The Trump administration touted the new policy as a victory for religious freedom, and the announcement thrilled the social conservatives who make up a key part of the president's supporters.

Expert System has signed a worldwide agreement that enables cognitive automation powered by Cogito, transforming business processes to support the needs of market participants. "Artificial Intelligence is disrupting the insurance sector at an unprecedented rate," said Nicky Singh, VP UK & Ireland, Expert System. "In a decade, a significant part of the insurance industry will be powered by AI. It is a reality that we need to embrace. We are proud that the world's largest insurance market is working with us to innovate through AI." Expert System allows businesses to transform effectively by automating business processes and improving customer experience.

Lloyd's of London has signed its first Artificial Intelligence (AI) deal to automate business processes in the market. Lloyd's has signed a worldwide agreement with Expert System that enables cognitive automation, according to an Oct. 9 press release. Expert System allows businesses to transform effectively by automating business processes and improving customer experience, according to the statement. "Artificial Intelligence drives productivity by changing the way we benefit from data, and Lloyd's continues its history of innovation," said Craig Civil, head of data innovation at Lloyd's. "Expert System's cognitive applications help us to meet our strategic objective and evolve business models through new applications."

Question: I've owned and lived in my very small Los Angeles condo complex for 16 years and am president of the association. Many of my neighbors are established professionals, including a couple of financial advisors across the hall. They have lived in the building for more than 40 years and have no plans to move. But they have serious drinking problems and never-ending blowout fights. At all hours of the day and night they scream at each other and throw and slam stuff inside their unit.

The Trump administration officially issued a new rule Friday that weakens the Affordable Care Act's mandate requiring employers to provide free birth control as part of health insurance plans. The final rule resembles a draft that was leaked back in May. It vastly expands the types of employers that can opt out of birth control coverage and eliminates some of the hoops those employers have had to jump through to do so. "With this rule in place, any employer could decide that their employees no longer have health insurance coverage for birth control," Cecile Richards, president of the Planned Parenthood Federation of America, said in an emailed statement. "The Trump administration just took direct aim at birth control coverage for 62 million women." Under the Obamacare provision, some employers with religious affiliations could opt out of the birth control mandate, citing their religious beliefs.

Recently, a number of noteworthy results have been achieved in various fields of artificial intelligence, and many aspects of the problem solving process have received significant attention by the scientific community. In this context, the extraction of comprehensive knowledge suitable for problem solving and reasoning, from textual and pictorial problem descriptions, has been less investigated, but recognized as essential for autonomous thinking in Artificial Intelligence. In this work we present a challenge where methods and tools for deep understanding are strongly needed for enabling problem solving: we propose to solve mathematical puzzles by means of computers, starting from text and diagrams describing them, without any human intervention. We are aware that the proposed challenge is hard and of difficult solution nowadays (and in the foreseeable future), but even studying and solving only single parts of the proposed challenge would represent an important step forward for artificial intelligence.

Analysis "OK, the error rate is terrible, but it's Artificial Intelligence – so it can only improve!" AI is always "improving" – as much is implied by the cleverly anthropomorphic phrase, "machine learning". Learning systems don't get dumber. But what if they don't actually improve? The caveat accompanies almost any mainstream story on machine learning or AI today. But it was actually being expressed with great confidence forty years ago, the last time AI was going to "revolutionise medicine". IBM's ambitious Watson Health initiative will unlock "$2 trillion of value," according to Deborah DiSanzo, general manager of Watson Health at IBM.

Despite Elon Musk's warnings this summer, there's not a whole lot of reason to lose any sleep worrying about Skynet and the Terminator. Artificial Intelligence (AI) is far from becoming a maleficent, all-knowing force. The only "Apocalypse" on the horizon right now is an over reliance by humans on machine learning and expert systems, as demonstrated by the deaths of Tesla owners who took their hands off the wheel. Examples of what currently pass for "Artificial Intelligence"--technologies such as expert systems and machine learning--are excellent for creating software that can help in contexts that involve pattern recognition, automated decision-making, and human-to-machine conversations. Both types have been around for decades.

In recent years, a number of artificial intelligent services have been developed such as defect detection system or diagnosis system for customer services. Unfortunately, the core in these services is a black-box in which human cannot understand the underlying decision making logic, even though the inspection of the logic is crucial before launching a commercial service. Our goal in this paper is to propose an analytic method of a model explanation that is applicable to general classification models. To this end, we introduce the concept of a contribution matrix and an explanation embedding in a constraint space by using a matrix factorization. We extract a rule-like model explanation from the contribution matrix with the help of the nonnegative matrix factorization. To validate our method, the experiment results provide with open datasets as well as an industry dataset of a LTE network diagnosis and the results show our method extracts reasonable explanations.