By embracing diversity, humanity finds greater strength. Our differences mean we can specialize, using our unique talents to excel in the areas to which we are most suited. This is as true for intelligence as for physical attributes. One person may solve complex algebraic equations for fun but care less about which political party is in power; another may have trouble calculating the tip on a restaurant check but can spend hours discussing the ins and outs of global foreign policy. Both are important skills, but with different applications.

The Trump administration is proposing new rules to guide future federal regulation of artificial intelligence used in medicine, transportation and other industries. But the vagueness of the principles announced by the White House is unlikely to satisfy AI watchdogs who have warned of a lack of accountability as computer systems are deployed to take on human roles in high-risk social settings, such as mortgage lending or job recruitment. The White House said that in deciding regulatory action, U.S. agencies "must consider fairness, non-discrimination, openness, transparency, safety, and security." But federal agencies must also avoid setting up restrictions that "needlessly hamper AI innovation and growth," reads a memo being sent to U.S. agency chiefs from Russell Vought, acting director of the Office of Management and Budget. "Agencies must avoid a precautionary approach that holds AI systems to such an impossibly high standard that society cannot enjoy their benefits," the memo says.

"But as times change and we get to a place where we can deliver up on what I believe and the president believes is our right structure, with fewer resources dedicated to that mission, we will do so," he added. Mr. Pompeo and Treasury Secretary Steven T. Mnuchin also announced new sanctions on Iranian officials and on a few companies, including two in China, involved in the production and export of Iranian steel and other metals. The Trump administration had already imposed major sanctions on Iran's metals industry after Mr. Trump's withdrawal in 2018 from a landmark nuclear agreement with Iran, so analysts said the new sanctions would have little additional impact. Iraqi lawmakers voted on Sunday to expel United States forces after the American drone strike that killed 10 people in a two-car convoy -- Maj. The prime minister has not signed the bill yet, but had been criticizing the American troop presence in Iraq since a series of recent actions by the United States military.

A mathematical study claims to have proven the long-held belief that the Battle of Britain could have easily been won by the Germans if not for tactical ineptitude. University of York researchers have created a computer model that uses a statistical technique called'weighted bootstrapping' to re-imagine the 1940 battle under different circumstances. It identifies two enormous blunders by notorious Nazi commander Hermann Goering - a trained fighter pilot - who led the assault that crippled the Nazi effort and helped Britain win. The researchers say it provides statistical backing to many historians' belief that if Germany had launched an attack immediately after Winston Churchill's famous'Battle of Britain' speech on June 18, rather than three weeks later on July 10, and targeted airfields rather than cities and populated areas, the Nazis would probably have been victorious. This would have crippled the British response by decimating the number of fighter pilots and destroying vital radar systems used to track German planes, paving the way for a naval and land invasion.

Stephen Chen investigates major research projects in China, a new power house of scientific and technological innovation. He has worked for the Post since 2006. He is an alumnus of Shantou University, the Hong Kong University of Science and Technology, and the Semester at Sea programme which he attended with a full scholarship from the Seawise Foundation.

Since its inception in February 2019, NHSX – the Government's new dedicated unit leading the NHS's digital transformation journey – has introduced a number of initiatives to improve IT strategies across the health sector. In summer, it announced it was investing £250m into Artificial Intelligence (AI) technology. The investment is designed to help with some of healthcare's toughest challenges, including researching new treatments and supporting the NHS's time-strapped workforce. And, in October, it launched a centre of excellence platform, where healthcare providers can seek advice on securing the best deals with technology suppliers. These initiatives have put the NHS on track towards realising better outcomes from its ongoing digital transformation. And, as it continues its journey, lessons from similar initiatives across Europe could provide key learnings that allow the NHS to generate even-greater benefits.

Recently, a researcher showed that he could create Deepfake text with artificial intelligence that is so real that US government officials did not know it was computer-generated, and accepted it as legitimate public comment. He then did a Turing Test to see if humans trained on spotting natural language processing could tell the difference between bot and human text. They were right about 50% of the time – essentially as good as flipping a coin. While reading the academic paper, I thought to myself, "Could machine learning to do the same for international development?" We have so much nuance, arcane language, and peculiarities, I didn't think it was possible.

Both Microsoft's Bill Gates New York Mayor Bill de Blasio have called for a tax on job-stealing robots, according to a Wall Street Journal tax policy reporter: A robot tax could serve multiple purposes, slowing job-destroying automation while raising revenue to supplement shrinking taxes paid by human workers. It could take a few different forms. Lawmakers could limit or slow down deductions for businesses that replace humans with robots, or they could hit businesses with levies equivalent to the payroll taxes paid by employers and employees. The current employment picture in the United States has been reasonably good (only 3.5% unemployment in 2019) so the proposed robot tax is just an idea at present. But a downturn could turn the idea into a cause.

Like, if they've got ten hacker cyberwarriors crouching over consoles, then you need a hundred. Army TRADOC "Mad Scientists" less goofy than one might think Editor's Note: While Monday's post explored a U.S. perspective on Artificial Intelligence (AI) integration to military operations, today's article, excerpted from this month's OE Watch, addresses China's embrace of "Intelligentization." Intelligentization is the uniquely Chinese concept of applying AI's machine speed and processing power to military planning, operational command, and decision support. In her testimony before the U.S.-China Economic and Security Review Commission Hearing on Trade, Technology, and Military-Civil Fusion earlier this year, proclaimed Mad Scientist Elsa Kania stated that President Xi Jinping, in his report to the 19th Party Congress in October 2017, "urged the PLA to'Accelerate the development of military intelligentization" (军事智能化)….This authoritative exhortation has elevated the concept of'intelligentization' as a guiding principle for the future of Chinese military modernization." What is unique about the PLA's approach to implementing AI in force modernization is that they do not seek to merely integrate AI into existing warfighting functions; rather, they are using it to shape a new, cognitive domain and thus revolutionize their entire approach to warfighting -- Read on!] (((Okay, I will, and not for the first time, either.))) In today's world of rapidly developing concepts and technologies, many theories are emerging about what warfare will resemble in the future.

In her testimony before the U.S.-China Economic and Security Review Commission Hearing on Trade, Technology, and Military-Civil Fusion earlier this year, proclaimed Mad Scientist Elsa Kania stated that President Xi Jinping, in his report to the 19th Party Congress in October 2017, "urged the PLA to'Accelerate the development of military intelligentization" (军事智能化)….This authoritative exhortation has elevated the concept of'intelligentization' as a guiding principle for the future of Chinese military modernization." What is unique about the PLA's approach to implementing AI in force modernization is that they do not seek to merely integrate AI into existing warfighting functions; rather, they are using it to shape a new, cognitive domain and thus revolutionize their entire approach to warfighting -- Read on!] In today's world of rapidly developing concepts and technologies, many theories are emerging about what warfare will resemble in the future. Nowhere does this seem truer than in ...