Ironically, algorithms are telling us that machines will soon be able to do most of our jobs, but those conclusions perfectly illustrate what's non-scientific about turning human reasoning over to computers. Barely a month passes without a news story about how robots and artificial intelligence (AI) are going to devastate a significant number of the jobs in the workplace, sweeping away solid salary paying employment for factory workers and white-collar clerks alike. Just this month, the UK Parliament reported on the future of work in the face of automation, declaring that over 70% of jobs were at medium to high risk of displacement. While the report draws on a "more optimistic" study by the ONS to arrive at this prediction, the ONS used methods inspired by the even-more-frightening results in a 2013 paper by Oxford economist Carl Frey and machine learning expert Michael Osbourne, which found that almost half of jobs were at high risk, and two-thirds at medium risk. The paper was so important that in addition to shaping the methodologies of later reports (like those of the ONS, the OECD, and others), it informed a speech of the Bank of England's Chief Economist to the Trades Union Congress in 2015, prompted the "Fourth Industrial Revolution" theme of the 2016 Davos Forum, provided the basis of the WEF "Future of Jobs" report, and generated a subsequent sea of articles by journalists who rarely questioned the numbers.

More Governments Employ Artificial Intelligence in Government and Law Enforcement Artificial intelligence is developing at a rapid rate and is already changing the way businesses and governments run, but how the algorithms they use work isn't clear. More governments are implementing machine learning and artificial intelligence to increase efficiency, cut costs, enforce laws, and combat the spread of fake news.

Technology leads podcast is a podcast with three hosts Tom, Daniel, and Rik. Each episode has a guest that will be interviewed. The podcast starts with a couple of interesting tech updates. We question whether these are still podcasts or more leaning towards the audiobook genre. Remote controlling your car with an app is nice, but what if you rent a car and a previous customer can still control it!

--Scientists have used many different classification methods to solve the problem of music classification. But the efficiency of each classification is different. In this paper, we propose two compared methods on the task of music style classification. More specifically, feature extraction for representing timbral texture, rhythmic content and pitch content are proposed. Comparative evaluations on performances of two classifiers were conducted for music classification with different composers' styles.

China has issued new rules banning online video and audio providers from using artificial intelligence (AI) and virtual reality technologies to produce "fake news." The regulation published Friday by China's cyberspace authority said that both providers and users of online video news and audio services are "not allowed" to use new technologies such as deep learning and virtual reality to create, distribute and broadcast "fake news." "Fake news" has been generalised to mean anything from a mistake to a parody or a deliberate misinterpretation of facts. The rules come into effect on January 1, 2020. Failure to follow them could be considered a criminal offence, the Cyberspace Administration of China (CAC) said, without offering details on punishments.

Artificial intelligence is expected to reshape the future workplace - drastically changing or replacing entire jobs. In fact, companies are already employing AI-based technologies to recruit talent and evaluate workers' performance. The central question has emerged: To what extent will AI and automation continue to change the workforce and what does it mean for both blue-collar and white-collar workers? On Wednesday, November 20, POLITICO held a deep-dive conversation on how AI is transforming the American workplace and what legislative and policy solutions should be implemented to address this shift.

Warner Bros. Entertainment Inc. seeks a Director, AI & ML Data Science for the Digital Product, Platform & Strategy: Data Intelligence department. We are looking for a talented director of artificial intelligence and machine learning to grow and lead a team of AI researchers, engineers, and data scientists focused on the application of artificial intelligence and machine learning techniques to support internal customers across our studio. This individual and their team's responsibilities include but are not limited to the creation of deep neural networks, computer vision models, and signal processing models that will be applied to our audio and video content; models built upon our customer level data to generate 1:1 predictive audiences; recommendation engines to serve the right content to the right users; LTV and engagement models to identify who are our most valuable customers and how they will engage with our services; and natural language models to parse our extensive library of written content. The models, APIs built on top of the models (MLaaS), and results from these models will be shared with internal and external stakeholders across all levels, with the goal of improving how we create, market, and distribute our content at WB. This individual will also utilize their background in working with stakeholders at all levels to distill their results into clear and succinct explanations for their stakeholders.

Today, we're extremely happy to announce AWS DeepComposer, the world's first machine learning-enabled musical keyboard. Yes, you read that right. Machine learning (ML) requires quite a bit of math, computer science, code, and infrastructure. These topics are exceedingly important but to a lot of aspiring ML developers, they look overwhelming and sometimes, dare I say it, boring. To help everyone learn about practical ML and have fun doing it, we introduced several ML-powered devices.

What do you want to do exactly? Do you want to interview someone on Skype / video chat, or do you have a list of questions you could just post here for (multiple) people to answer? How much time do you expect it will take? What do you need from the professional? Do you want them to work in industry, or is it enough to be a professional (e.g. in academia or government)?

A new report finds that many publishers impressed by artificial intelligence generated writing and similar technologies are doing double-takes on its price tag. Essentially, 47% of key players in publishing surveyed say they like what they see, but they're uncertain that AI can deliver a solid return on investment. The irony, according to the researchers: Other evidence gleaned from the same survey shows even minimal investment in AI brings back significant sales increases for publishers. That additional investment coin could involve little more than hiring AI-savvy employees, or training existing employees in AI. "Those who have invested in artificial intelligence are happy with their experience and will continue to invest on all levels," the researchers observe. The study, "The Future Impact of Artificial Intelligence on the Publishing Industry" -- released Gould Finch and Frankfurter Buchmesse -- is available for free download.