This study was conducted by IDC France with 206 private sector companies with at least 1,000 employees.

Instrument classification is one of the fields in Music Information Retrieval (MIR) that has attracted a lot of research interest. However, the majority of that is dealing with monophonic music, while efforts on polyphonic material mainly focus on predominant instrument recognition or multi-instrument recognition for entire tracks. We present an approach for instrument classification in polyphonic music using monophonic training data that involves mixing-augmentation methods. Specifically, we experiment with pitch and tempo-based synchronization, as well as mixes of tracks with similar music genres. Further, a custom CNN model is proposed, that uses the augmented training data efficiently and a plethora of suitable evaluation metrics are discussed as well. The tempo-sync and genre techniques stand out, achieving an 81% label ranking average precision accuracy, detecting up to 9 instruments in over 2300 testing tracks.

Abstract: We present an online multilingual system for event detection and comprehension from media feeds. The system retrieves information from news sites, aggregates them into events (event detection), and summarizes them by extracting semantic labels of its most relevant entities (event representation) in order to answer the journalism Ws: who, what, when and where. The generated events populate VLX-Stories -an event ontology- transforming unstructured text data to a structured knowledge base representation. Our system exploits an external entity Knowledge Graph (VKG) to help populate VLX-Stories. At the same time, this external knowledge graph can also be extended with a Dynamic Entity Linking (DEL) module, which detects emerging entities (EE) on unstructured data.

We are living in an exciting time, where software and machine learning are rapidly changing the way we approach work. For some industries, artificial intelligence will destroy job opportunities, but for other industries, it will revolutionize productivity. How will photography and the retouching world fare as editing software begins using this exciting technology? Here at Fstoppers, we are constantly testing and exploring the latest and greatest photo-editing software for photographers. Last week, Skylum released a new software suite called Luminar 4, which helps photographers automate their post-production workflow.

Fox News Flash top headlines for Nov. 26 are here. Check out what's clicking on Foxnews.com Boston Celtics star Gordon Hayward credited video games for helping him make progress rehabbing the broken hand he suffered earlier this month. Hayward, who is known for his gaming prowess off the court, said Sunday that playing video games helped "keep his fingers moving," according to The Athletic. The 29-year-old's love for video games was chronicled earlier this year in The Washington Post.

Artificial intelligence (AI) has the potential to deliver significant social and economic benefits, including reducing accidental deaths and injuries, making new scientific discoveries, and increasing productivity.[1] However, an increasing number of activists, scholars, and pundits see AI as inherently risky, creating substantial negative impacts such as eliminating jobs, eroding personal liberties, and reducing human intelligence.[2] Some even see AI as dehumanizing, dystopian, and a threat to humanity.[3] As such, the world is dividing into two camps regarding AI: those who support the technology and those who oppose it. Unfortunately, the latter camp is increasingly dominating AI discussions, not just in the United States, but in many nations around the world. There should be no doubt that nations that tilt toward fear rather than optimism are more likely to put in place policies and practices that limit AI development and adoption, which will hurt their economic growth, social ...

Chatbots currently are one of the most popular AI technologies in the enterprise world. Bots are being deployed for different functions of an organization – be it engaging customers, training employees, driving sales, providing IT Helpdesk or HR support, generating leads etc. These intelligent machines provide instant service, round the clock – you don't need to keep your customers/employees waiting 24 hours for the next support agent to come online. However, bots weren't equipped for intelligent and smart conversations when they were first invented. Chatbots have undergone several advancements in the past few years.

A TV anchor has joined a Chinese news agency, but with a twist: he isn't human. China's state-run Xinhua News Agency has launched an artificial intelligence (AI) anchor, a move it claims to be a world first. "English AI Anchor" debuted Thursday at the World Internet Conference in the country's eastern Zhejiang Province. Modeled on the agency's Zhang Zhao presenter, the new anchor learns from live videos and is able to work 24 hours a day, reporting via social media and on the Xinhua website. "'He' learns from live broadcasting videos by himself and can read texts as naturally as a professional news anchor," the company said in an online statement.

In'The Terminator' series of action films starring Arnold Schwarzenegger, a cybernetic organism (cyborg) is programmed from the future to go back in time and kill the mother of the scientist who leads the fight against Skynet, an artificial intelligence system that will cause a nuclear holocaust. Terrifying and at times comical ("I'll be back", "Make my day") The Terminator cyborg was among the first presentations of artificial intelligence (AI) to a global audience. While numerous facets of AI have been developed over the past couple of decades, all with positive outcomes, the fear of AI being programmed to do something devastating to the human race, of computers "going rogue", continues to persist. On the other hand, AI holds tremendous potential for benefiting humanity in ways we are only just starting to recognize. This article gives an overview of artificial intelligence including some of its most interesting manifestations. The first step is defining what we mean by artificial intelligence. One definition of AI is "the simulation of human intelligence processes by machines, especially computers." Such processes include learning by acquiring information, understanding the rules around using that information, employing reasoning to reach conclusions, and self-correcting.