If the U.S. blacklisting of China's budding artificial intelligence companies is aimed at thwarting their progress, we already are starting to see the limits to that strategy. A strong signal came this week when Megvii Technology, a Beijing-based AI firm on the U.S. blacklist, made moves to test the IPO waters in Hong Kong. Numerous media reports said the company, known for its facial-recognition platform Face, is seeking to raise $500 million to $1 billion in a listing that is imminent. The move follows the early success of Alibaba's (NYSE: BABA) secondary listing on the Hong Kong Stock Exchange that may raise as much as $13 billion next week. The HKSE was the world's top bourse for IPOs last year, supplanting Nasdaq, and looks primed to win that race again this year despite the civil unrest there. Last month the U.S. Commerce Department added to the list of Chinese AI companies banned from buying U.S. products or importing American technology.

Fox News Flash top headlines for Nov. 23 are here. Check out what's clicking on Foxnews.com The U.S. military announced Friday it lost an unarmed drone over Tripoli, the Libyan capital -- the site of a months-long battle between the Libyan National Army and militias allied with the United Nations-supported government. The U.S. Africa Command said the remotely piloted aircraft was part of an operation conducted in Libya to assess the area's security and monitor for violent extremist activity. They didn't give a reason for the drone loss on Thursday, but the command will be investigating.

Even if artificial intelligence is only a part of a larger solution, we must arm the gatekeepers of patent rights with better tools so they can better carry out the goals of the patent system.

Artificial intelligence and the digital transformation must be inclusive and generate benefits for all Europeans, including vulnerable groups. At the high-level conference on Artificial intelligence, robotics and digital services for the wellbeing of citizens, organised by the EESC in Helsinki on 21 November 2019 in cooperation with the Finnish EU Presidency and the Finnish Ministries of Social Affairs and Health and Transport and Communications, EESC members reaffirmed that people must remain at the core of new technological developments. Ariane Rodert, president of the EESC Section for the Single Market, Production and Consumption (INT), underlined that artificial intelligence was one of the main political priorities of the EESC's current presidency and said: Artificial intelligence must be developed in a safe, unbiased way and, above all, must be in keeping with the values of the EU. We need to ensure that artificial intelligence and its applications promote people's wellbeing and empowerment, with due respect for fundamental rights. On the same wavelength was Pierre Jean Coulon, president of the EESC Section for Transport, Energy, Infrastructure and the Information Society (TEN), who declared: Digitalisation is everywhere: in health, transport and energy, and it affects the lives of everyone.

Technology has helped cardiologist Eric Topol save lives. While on an airplane several years ago, a flight attendant asked if there was a doctor on board--a man was suffering from chest pain at 30,000 feet. Topol was able to obtain an electrocardiogram from the man by using a heart activity–reading gadget that attached to his smartphone, made by the medical device company AliveCor. "It turned out to be a big anterior heart attack I could see right on my smartphone," says Topol, director and founder of the Scripps Research Translational Institute in San Diego. "I had to tell the folks to land the plane. He wound up doing pretty well."

When you're marketing a product, persona, or idea, you must communicate your message effectively. Your proposition is meaningless if it does not resonate with your audience. Measuring that effectiveness becomes challenging when you lack reliable and consistent Key Performance Indicators. Political campaigns provide a prime example. Election polls have self-selection bias and election results are too infrequent and definitive to be useful.

At the Common Good in the Digital Age tech conference recently held in Vatican City, Pope Francis urged Facebook executives, venture capitalists, and government regulators to be wary of the impact of AI and other technologies. "If mankind's so-called technological progress were to become an enemy of the common good, this would lead to an unfortunate regression to a form of barbarism dictated by the law of the strongest," he said. In a related but contextually different conversation, this summer Joy Buolamwini testified before Congress with Rep. Alexandria Ocasio-Cortez (D-NY) that multiple audits found facial recognition technology generally works best on white men and worst on women of color. What these two events have in common is their relationship to power dynamics in the AI ethics debate. Arguments about AI ethics can wage without mention of the word "power," but it's often there just under the surface. In fact, it's rarely the direct focus, but it needs to be. Power in AI is like gravity, an invisible force that influences every consideration of ethics in artificial intelligence. Power provides the means to influence which use cases are relevant; which problems are priorities; and who the tools, products, and services are made to serve. It underlies debates about how corporations and countries create policy governing use of the technology.

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations.

As Moore's law runs out of steam, new programming approaches are being pursued with the goal of greater hardware performance with less coding. The Defense Advanced Projects Research Agency is launching a new programming effort aimed at leveraging the benefits of massive distributed parallelism with less sweat.

Lots of math, science, technology and business roles involve, say, operating a power plant to maximize energy efficiency, or running an ad campaign to minimize cost per click,