Experimental self-driving car, based on modified Ford automobile, with Lidar and other sensors ... [ ] visible, in the Mission Bay neighborhood of San Francisco, California, June 10, 2019. Testing self-driving vehicles on public roads remains a scary prospect for citizens of communities where that's happening but a six-month old consortium of major automakers and ride-share companies has taken a step towards removing some of that fear, by addressing the human element. An operator sits in the driver's seat of a Toyota Motor Corp. Prius hybrid car, operated by ... [ ] Yandex.Taxi, part of Yandex.NV, during a self-driving taxi trial on open roads in Moscow, Russia, on Wednesday, Aug. 21, 2019. Yandex, Russia's largest search engine that successfully expanded to online taxi and swallowed Uber Technologies Inc. operations in the country, started testing self-driving cars in 2017. The humans are what's known as in-vehicle fallback test drivers.

Artificial intelligence has increasingly been integrated into the weapons systems of the world's leading militaries, and at least one expert has said the futuristic technology may soon be the subject of a new Cold War. In a piece published Tuesday by The Conversation, North Dakota State University assistant professor Jeremy Straub argued that unlike the nuclear weapons that dominated much of the 21st century arms race between the U.S. and the Soviet Union, the use of cyberweapons and artificial intelligence largely remained "fair game," even as tensions again flared between the rivals. Both countries have invested heavily in developing new tools to wage war on this new front, but Russia particularly has sought to use it as an opportunity to upstage the more conventionally powerful U.S. Related: U.S. is losing to Russia and China in war for artificial intelligence, report says "Now, more than 30 years after the end of the Cold War, the U.S. and Russia have decommissioned tens of thousands of nuclear weapons. Any modern-day cold war would include cyberattacks and nuclear powers' involvement in allies' conflicts," wrote Straub, who was also associate director of the university's Institute for Cyber Security Education and Research, in his article. "It's already happening," he added.

Artificial intelligence has increasingly been integrated into the weapons systems of the world's leading militaries, and at least one expert has said the futuristic technology may soon be the subject of a new Cold War. In a piece published Tuesday by The Conversation, North Dakota State University assistant professor Jeremy Straub argued that unlike the nuclear weapons that dominated much of the 21st century arms race between the U.S. and the Soviet Union, the use of cyberweapons and artificial intelligence largely remained "fair game," even as tensions again flared between the rivals. Both countries have invested heavily in developing new tools to wage war on this new front, but Russia particularly has sought to use it as an opportunity to upstage the more conventionally powerful U.S. Related: U.S. is losing to Russia and China in war for artificial intelligence, report says "Now, more than 30 years after the end of the Cold War, the U.S. and Russia have decommissioned tens of thousands of nuclear weapons. Any modern-day cold war would include cyberattacks and nuclear powers' involvement in allies' conflicts," wrote Straub, who was also associate director of the university's Institute for Cyber Security Education and Research, in his article. "It's already happening," he added.

In many instances, information on engineering systems can be obtained through measurements, monitoring or direct observations of system performances and can be used to update the system reliability estimate. In structural reliability analysis, such information is expressed either by inequalities (e.g. for the observation that no defect is present) or by equalities (e.g. for quantitative measurements of system characteristics). When information Z is of the equality type, the a-priori probability of Z is zero and most structural reliability methods (SRM) are not directly applicable to the computation of the updated reliability. Hitherto, the computation of the reliability of engineering systems conditional on equality information was performed through first- and second order approximations. In this paper, it is shown how equality information can be transformed into inequality information, which enables reliability updating by solving a standard structural system reliability problem. This approach enables the use of any SRM, including those based on simulation, for reliability updating with equality information. It is demonstrated on three numerical examples, including an application to fatigue reliability.