This image shows the profile of an electron beam at Berkeley Lab's Advanced Light Source synchrotron, represented as pixels measured by a charged coupled device (CCD) sensor. When stabilized by a machine-learning algorithm, the beam has a horizontal size dimension of 49 microns (root mean squared) and vertical size dimension of 48 microns (root mean squared). Demanding experiments require that the corresponding light-beam size be stable on time scales ranging from less than seconds to hours to ensure reliable data. Synchrotron light sources are powerful facilities that produce light in a variety of "colors," or wavelengths – from the infrared to X-rays – by accelerating electrons to emit light in controlled beams. Synchrotrons like the Advanced Light Source at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) allow scientists to explore samples in a variety of ways using this light, in fields ranging from materials science, biology, and chemistry to physics and environmental science.

The Government Digital Service (GDS) and the Office for Artificial Intelligence (OAI) have published joint guidance on how to build and use artificial intelligence (AI) in the public sector. OAI, GDS, and The Alan Turing Institute (ATI) have partnered to produce guidance on how to use AI ethically and safely. Every day, artificial intelligence (AI) is changing how we experience the world. We already use AI to find the fastest route home, alert us of suspicious activity in our bank accounts and filter out spam emails. Indeed, Artificial Intelligence and Data was named as one of the four'Grand Challenges' in the Industrial Strategy White Paper, which are global trends that will transform our future and contribute to the government's long-term plan to boost productivity in the UK.

Health care leaders are embracing AI. But by conducting an extensive review of case studies and research literature, we've found that their AI initiatives are predominantly focused on developing algorithms that can predict a problem such as cancer in order to make diagnoses better, faster, and less expensively. Rarely, are their organizations devoting resources to AI efforts aimed at understanding why diseases occur. To intervene as effectively as possible, both kinds of algorithms are crucial. To be clear, we are not downplaying the importance of predictive analytics to help diagnose patients.

Health care leaders are embracing AI. But by conducting an extensive review of case studies and research literature, we've found that their AI initiatives are predominantly focused on developing algorithms that can predict a problem such as cancer in order to make diagnoses better, faster, and less expensively. Rarely, are their organizations devoting resources to AI efforts aimed at understanding why diseases occur. To intervene as effectively as possible, both kinds of algorithms are crucial. To be clear, we are not downplaying the importance of predictive analytics to help diagnose patients.

Agencies are pushing ahead on various IT modernization efforts all the time. But how do they actually make those initiatives successful, and what are the technologies that will have the most impact? Agencies that have embraced technology change are already starting to see the benefit of disruptive models to deliver their missions and better outcomes in new ways, according to Accenture Federal Services' "Federal Vision 2030" report. "And they are creating more value for citizens and empowering employees with exciting new ways to serve," the report says. "Other less agile agencies fall behind in applying the latest technologies and approaches to reimagine the mission and business. When this gap widens, public trust declines and workforce engagement drops -- and external adversaries may stoke these instabilities."

The worst foreign-policy decision by the United States of the last generation – and perhaps longer – was the "war of choice" that it launched in Iraq in 2003 for the stated purpose of eliminating weapons of mass destruction that did not, in fact, exist. Understanding the illogic behind that disastrous decision has never been more relevant, because it is being used to justify a similarly misguided US policy today. The decision to invade Iraq followed the illogic of then-US vice-president Richard Cheney, who declared that even if the risk of WMD falling into terrorist hands was tiny – say, 1% – we should act as if that scenario would certainly occur. Such reasoning is guaranteed to lead to wrong decisions more often than not. Yet the US and some of its allies are now using the Cheney Doctrine to attack Chinese technology.

All persons, organizations and entities that attend AAAI conferences and events are subject to the standards of conduct set forth on the AAAI Code of Conduct for Events and Conferences. The Association for the Advancement of Artificial Intelligence is pleased to present the 2019 Fall Symposium Series, to be held Thursday through Saturday, November 7–9 at the Westin Arlington Gateway in Arlington, Virginia adjacent to Washington, DC. An informal reception will be held on Thursday, November 7. A general plenary session, in which the highlights of each symposium will be presented, will be held on Friday, November 8. For further information, please contact: AAAI Fall Symposium Series 2275 East Bayshore Road, Suite 160 Palo Alto, California 94303 650-328-3123 650-321-4457 (fax) fss19@aaai.org The 2019 Plenary Session, to be held November 8 at 6:00 PM, will have a modified format this year.

Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile.

Ayatollah Khamenei doubles down on Iran's commitment not to engage in talks with the United States; Trey Yingst reports. The drone was reportedly hit in the early morning at the port city of Mahshahr, which is in the oil-rich Khuzestan province and lies on the Persian Gulf. "The downed droned definitely belonged to a foreign country. Its wreckage has been recovered and is being investigated," the governor of Khuzestan, Gholamreza Shariati, said, according to the official IRNA news agency. He said the drone violated Iran's airspace but did not provide any additional information, including whether it was a military or civilian drone.

Take all the help you can get. If parallel computing has a central tenet, that might be it. Some of the crazy-complex computations asked of today's hardware are so demanding that the compute burden must be borne by multiple processors, effectively "parallelizing" whatever task is being performed. Perhaps the most notable push toward parallelism happened around 2006, when tech hardware powerhouse Nvidia approached Wen-mei Hwu, a professor of electrical and computer engineering at the University of Illinois-Urbana Champaign. Nvidia was designing graphics processing units (GPUs) -- which, thanks to large numbers of threads and cores, had far higher memory bandwidth than the traditional central processing unit (CPUs) -- as a way to process huge numbers of pixels.