As artificial intelligence (AI) becomes more commonplace in newsrooms, Cardiff University will be introducing the technology into its syllabus to produce'industry-ready journalists'. As of September 2020, students on the MA International Journalism course will learn to use programmes like Dataminr, Chartbeat, TweetDeck and Google Analytics - the inclusion of Dataminr being a first for UK universities. It features on a new'emerging journalism' module where students will use AI-powered tools to identify and report on a breaking news story, as this is becoming standard practice in local newsrooms, like Reach plc. As well as these practical skills, the module also offers the theory of using this technology for problem-solving. He stressed that aspiring journalists need to come to terms with AI, or risk being left behind by its advancements.

Scientists have built simulations to help explain behavior in the real world, including modeling for disease transmission and prevention, autonomous vehicles, climate science, and in the search for the fundamental secrets of the universe. But how to interpret vast volumes of experimental data in terms of these detailed simulations remains a key challenge. Probabilistic programming offers a solution--essentially reverse-engineering the simulation--but this technique has long been limited due to the need to rewrite the simulation in custom computer languages, plus the intense computing power required. To address this challenge, a multinational collaboration of researchers using computing resources at Lawrence Berkeley National Laboratory's National Energy Research Scientific Computing Center (NERSC) has developed the first probabilistic programming framework capable of controlling existing simulators and running at large-scale on HPC platforms. The system, called Etalumis ("simulate" spelled backwards), was developed by a group of scientists from the University of Oxford, University of British Columbia (UBC), Intel, New York University, CERN, and NERSC as part of a Big Data Center project.

The deluge of fake news was first called out in the wake of the 2016 election when shady websites run by foreign interests spread misinformation, much of which gained a foothold on Facebook. OpenAI worried releasing a bot that could pump out fake news in large quantities would be dangerous for society. Although, some AI researchers felt the firm was just looking for attention. This technology or something like it would be available eventually, they said, so why not release the bot so other teams could develop ways to detect its output.

This paper studies the prediction of chord progressions for jazz music by relying on machine learning models. The motivation of our study comes from the recent success of neural networks for performing automatic music composition. Although high accuracies are obtained in single-step prediction scenarios, most models fail to generate accurate multi-step chord predictions. In this paper, we postulate that this comes from the multi-scale structure of musical information and propose new architectures based on an iterative temporal aggregation of input labels. Specifically, the input and ground truth labels are merged into increasingly large temporal bags, on which we train a family of encoder-decoder networks for each temporal scale. In a second step, we use these pre-trained encoder bottleneck features at each scale in order to train a final encoder-decoder network. Furthermore, we rely on different reductions of the initial chord alphabet into three adapted chord alphabets. We perform evaluations against several state-of-the-art models and show that our multi-scale architecture outperforms existing methods in terms of accuracy and perplexity, while requiring relatively few parameters. We analyze musical properties of the results, showing the influence of downbeat position within the analysis window on accuracy, and evaluate errors using a musically-informed distance metric.

NEW YORK – Uber CEO Dara Khosrowshahi is being criticized for calling the murder of a Washington Post columnist "a mistake" and comparing it to the death of a pedestrian struck by one of the company's autonomous vehicles. Khosrowshahi later said he regretted his comments, made during an interview with Axios on HBO. He tweeted Monday that there's no forgiving or forgetting what happened to the journalist Jamal Khashoggi and he was wrong to call it a mistake. Critics say Khosrowshahi is downplaying Khashoggi's grisly murder to placate one of the company's biggest investors. Saudi Arabia's sovereign wealth fund, known as The Public Investment Fund, holds about $1.9 billion worth of Uber stock, making it the company's fifth-largest stakeholder.

The Artificial Intelligence (AI) in accounting market size is expected to grow from USD 666 million in 2019 to USD 4,791 million by 2024, at a Compound Annual Growth Rate (CAGR) of 48.4% during the forecast period. The AI in accounting is driven by various factors, such as the growing need to automate accounting processes and support enhanced data-based advisory and decision making. However, growing concerns over high criticality of data volume and quality, and investment related issues with integration of AI in accounting can hinder the growth of the market. Services segment to grow at a higher CAGR during the forecast period The AI in accounting market based on component is segmented into solutions and services.The services segment is expected to grow at a rapid pace during the forecast period. The growth of this segment can be attributed to the increasing deployment of AI in accounting software tools and solutions, which leads to increasing the demand for pre- and post-deployment services.

On a recent Sunday at the Queen Anne Lutheran Church basement, parishioners sat transfixed as the Rev. Dr. Ted Peters discussed an unusual topic for an afternoon assembly: "Can technology enhance the image of God?" Peters' discussion focused on a relatively new philosophical movement. Its followers believe humans will transcend their physical and mental limitations with wearable and implantable devices. The movement, called transhumanism, claims that in the future, humans will be smarter and stronger and may even overcome aging and death through developments in fields such as biotechnology and artificial intelligence (AI). "What does it mean to be truly human?" Peters asked in a voice that boomed throughout the church basement, in a city that boasts one of the world's largest tech hubs.

For some, artificial intelligence may conjure sci-fi movie plots and fears of sentient robots challenging humanity. The greatest threat to the future of AI, he believes, is ignorance. Duncan discussed his concern as he sat only a few feet away from Bina48, a humanoid robot he helped create that can analyze and respond to hundreds of conversation starters. AI algorithms allow her to act, think and respond like a human. Although she's just a head and torso, sitting atop a desk in the living room of a house at the end of a winding dirt road, she can concoct facial expressions with human vulnerability, as her brown eyes track the room around her. You'll never miss a story with our daily headlines in your inbox.

The use of artificial intelligence is set to revolutionize how people create music but still, robots will not replace humans in the art of making melodies, attendees of a conference about art and music were told on Sunday. "Artificial intelligence will not replace good artists and composers," François Pachet, a scientist, composer and the director of the Spotify Creator Technology Research Lab, told participants of the TechnoArt 2019 conference in Tel Aviv. "AI will change the way people make art, but it won't replace them." Pachet is considered a pioneer of computer music, and specifically its interaction with AI. At Spotify he leads development of AI-based tools for musicians.

The short answer to this question is quite easy: it is practically impossible to predict the future of machine learning; one of the most dynamic, complex, and challenging fields mankind has ever created! The history of Machine Learning is tightly linked to the history of Artificial Intelligence and teaches us that its evolution was marked by ups and downs, periods of high interest and hype followed (usually in a rather unexpected way) by periods of "oblivion" – the so-called "AI winters". While its future is impossible to be accurately predicted, most of the trends and developments that have a serious impact on Machine Learning today can be identified and analyzed. One might even dare to assume these trends and developments will play a major role in shaping its future. For me, the best way to describe the future of Machine Learning is to use some of Sci-Fi cinematography's most famous words: "Clouded this boy's future is".