Image caption, George Fenton was one of the UK's most prolific and successful composers The composer George Fenton, whose work included music for films such as Gandhi, Groundhog Day, and The Fisher King, as well as TV shows like Planet Earth and Bergerac, has died at the age of 76. The prolific musician received five Oscar nominations for his film scores, including those for The Remains of the Day and Cry Freedom. His work on the BBC TV show Blue Planet also earned awards from the Baftas, Emmy Awards and Ivor Novellos; and he also composed theme music for BBC News programmes such as Newsnight and Breakfast Time. In a statement, Fenton's family said: We are very sad to announce that George Fenton passed away unexpectedly today. They continued: He is survived by his loving wife Amanda, ex-wife Jane, children Gemma, Grace and Bridget, and grandchildren Lola, Audrey, Alfred, George, Frank and Beatrice, and a life of music.

Fox News chief national security correspondent Jennifer Griffin discusses how the Genesis health system is impacting recruiting on'Special Report.' Forced to do more with less and learning from the war in Ukraine, U.S. special operations commanders are juggling how to add more high-tech experts to their teams while still cutting their overall forces by about 5,000 troops over the next five years. The conflicting pressures are forcing a broader restructuring of the commando teams, which are often deployed for high-risk counterterrorism missions and other sensitive operations around the world. The changes under consideration are being influenced by Russia's invasion of Ukraine. U.S. Army Special Operations Command, which bears the brunt of the personnel cuts, is eyeing plans to increase the size of its Green Beret teams -- usually about 12 members -- to bring in people with more specialized and technical abilities.

Inflection AI, the start-up launched earlier this month by LinkedIn billionaire Reid Hoffman and DeepMind co-founder Mustafa Suleyman, has poached artificial intelligence gurus from Google and Meta, according to CNBC analysis. Headquartered in Silicon Valley, Inflection's aim is to develop AI software products that make it easier for humans to communicate with computers. When the company was launched, the only three team members that were made public were Suleyman, Hoffman and former DeepMind researcher Karén Simonyan. However, others have now joined the fold. Heinrich Kuttler left his research engineering manager role at Meta AI in London this month to become a member of the founding team at Inflection, working on the technical side of the business, according to his LinkedIn page.

Applying automated reasoning tools for decision support and analysis in law has the potential to make court decisions more transparent and objective. Since there is often uncertainty about the accuracy and relevance of evidence, non-classical reasoning approaches are required. Here, we investigate probabilistic epistemic argumentation as a tool for automated reasoning about legal cases. We introduce a general scheme to model legal cases as probabilistic epistemic argumentation problems, explain how evidence can be modeled and sketch how explanations for legal decisions can be generated automatically. Our framework is easily interpretable, can deal with cyclic structures and imprecise probabilities and guarantees polynomial-time probabilistic reasoning in the worst-case.

Even before the recent George Floyd case, there has been much debate about the extent to which claims of systemic racism are supported by statistical evidence. For example (Ross 2015) claims that unarmed blacks are 3.5 times more likely to be shot by police than unarmed whites when adjusting for relative differences in population size. However, (Fryer 2016) - formally published later as (Fryer 2019) - found that there was no such racial disparity when the data were conditioned on people being stopped by police, and there was a similar conclusion in (Patty and Hanson 2020) that was produced in direct response to public concerns about the Floyd case. In response to Fryer, (Ross, Winterhalder, and McElreath 2018) argued that Fryer's analysis was compromised because it was essentially an example of Simpson's paradox (Simpson 1951; Bickel, Hammel, and O'Connell 1975; Fenton, Neil, and Constantinou 2019) whereby conclusions based on pooled statistics are reversed when drilling down into relevant subcategories. A new paper (Knox, Lowe, and Mummolo 2020) explains why Simpson's paradox is not the only statistical explanation for the apparently contradictory conclusions of Ross and Fryer.

Even as AI technology transforms some aspects of cybersecurity, the intersection of the two remains profoundly human. Although it's perhaps counterintuitive, humans are front and center in all parts of the cybersecurity triad: the bad actors who seek to do harm, the gullible soft targets, and the good actors who fight back. Even without the looming specter of AI, the cybersecurity battlefield is often opaque to average users and the technologically savvy alike. Adding a layer of AI, which comprises numerous technologies that can also feel unexplainable to most people, may seem doubly intractable -- as well as impersonal. That's because although the cybersecurity fight is sometimes deeply personal, it's rarely waged in person.

Bayesian networks (BNs) have received increasing research attention that is not matched by adoption in practice and yet have potential to significantly benefit healthcare. Hitherto, research works have not investigated the types of medical conditions being modelled with BNs, nor whether any differences exist in how and why they are applied to different conditions. This research seeks to identify and quantify the range of medical conditions for which healthcare-related BN models have been proposed, and the differences in approach between the most common medical conditions to which they have been applied. We found that almost two-thirds of all healthcare BNs are focused on four conditions: cardiac, cancer, psychological and lung disorders. We believe that a lack of understanding regarding how BNs work and what they are capable of exists, and that it is only with greater understanding and promotion that we may ever realise the full potential of BNs to effect positive change in daily healthcare practice.

The 18th-century Irish philosopher Bishop George Berkeley concluded that, since all we know of the universe is what our senses convey to us, things in the world exist only to the extent that we perceive them. They have no material reality, but are phenomena in and of our minds, or the mind of God. Samuel Johnson famously countered this philosophy by kicking a large stone and saying, "I refute it thus!" Two hundred years later, while American campuses roiled with protests against the Vietnam War, the philosopher, historian, and physicist Thomas Kuhn met with a grad student at Princeton's legendary Institute for Advanced Study to discuss the student's paper. The professor and student disagreed on some fundamental ideas, and the conversation grew heated.

Position yourself for growth in 2017--join us live at the Entrepreneur 360 Conference in Long Beach, Calif. on Nov. 16. In the past decade, learning has gone from a passive to an active experience. Brick-and-mortar institutions are no longer required to continue education in a formal way. From highly effective homeschooling programs to online colleges, to continued education and online tools to enhance your professional career, the opportunities to expand your intelligence from your desk are abundant. One of the biggest technological advancements that has improved the quality of the learning tools we use is the aggregation and analysis of data.