Artificial intelligence and machine learning are huge topics at the moment. So, when I saw the title of this talk at Codemotion Amsterdam 2019 I was intrigued. The talk was given by three developers from ING, who build components for the rest of the business. Read on to find out how they managed to create a solution that can efficiently serve ML models across multiple teams. Effi Bennekers, Pierre Venter and Marcin Pakulnicki work as developers in ING's Omnichannel and DevOps teams, providing tools and services for other teams to use.

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.

The advances you hear about most when it comes to AI are the technologies once discussed in science fiction novels: nanobots that root disease out of the body; cars that navigate relentless traffic better than a human driver; scanners that detect potential skin cancer as well as a dermatologist. What you don't hear about nearly as much, however, are the myriad ways that technologies powered by AI are transforming routine processes and common frustrations, and helping businesses handle mundane tasks so employees can focus on more interesting work. There is perhaps no better example of this than content generation software, powered by AI and Natural Language Processing (NLP). Content generation software is incredibly intuitive and easy to use: most companies can start generating content like BSS reports, e-commerce product descriptions, news content like weather reports, and more within a manner of minutes by inputting basic information via an Excel spreadsheet. The natural language generation (NLG) market includes my company, AX Semantics, as well as other leaders like Arria, Narrative Science, Yseop and Automated Insights.

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.

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Get a free trial today and find answers on the fly, or master something new and useful. Jonas argues that "AI is a lie"--meaning that our expectations far outsize the reality of what's currently possible. One of the issues arising from that disconnect is a level of corporate investment in the research process that hasn't been seen before. He argues this has led to "a lot questions about whether robots are going to take our jobs, and these sorts of things, which are all quite premature." Questions of ethics and what role it should play are increasingly arising in machine learning and AI research, especially in the area of science applications.

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 ...

When my children were young, we had a toy that they assembled consisting of seventy-five plastic interconnecting tunnel pieces, including having numerous tall ramps and winding paths, and when a marble was dropped into the topmost funnel it would be of great delight to all as we watched the marble roll throughout the structure. It was advertised via a slogan that said down the tube it goes, where the marble stops, nobody knows, and presumably helped teach my children about physics (well, it was actually mainly just a lot of fun). Being quite rambunctious, the kids sought out new ways to test the capabilities and limits of the toy. Putting one marble down the shoot was fun. Perhaps putting two marbles would be twice the fun! They tried this and it made them squeal with delight. If two marbles are twice the fun, certainly four marbles would quadruple the fun. They kept increasing the number of marbles and with each such increment the plastic contraption would shake and shimmy more so. How many marbles would the system withstand?