Wondering who that hot new collaborator is, on your favorite artist's new album? It might just be artificial intelligence. Progress in AI music is accelerating rapidly, thanks to researchers and musicians at major tech conferences and universities who want to integrate widespread AI into the music world. Many artists feel we're about to enter a "golden age" of creativity, powered by artificial intelligence, that can push music in new directions. Let's look at some of the newest ways artificial intelligence is transforming the music industry from top to bottom.

This paper introduces QAConv, a new question answering (QA) dataset that uses conversations as a knowledge source. We focus on informative conversations including business emails, panel discussions, and work channels. Unlike open-domain and task-oriented dialogues, these conversations are usually long, complex, asynchronous, and involve strong domain knowledge. In total, we collect 34,204 QA pairs, including span-based, free-form, and unanswerable questions, from 10,259 selected conversations with both human-written and machine-generated questions. We segment long conversations into chunks, and use a question generator and dialogue summarizer as auxiliary tools to collect multi-hop questions. The dataset has two testing scenarios, chunk mode and full mode, depending on whether the grounded chunk is provided or retrieved from a large conversational pool. Experimental results show that state-of-the-art QA systems trained on existing QA datasets have limited zero-shot ability and tend to predict our questions as unanswerable. Fine-tuning such systems on our corpus can achieve significant improvement up to 23.6% and 13.6% in both chunk mode and full mode, respectively.

Reconfigurable intelligent surface (RIS) is considered as a revolutionary technology for future wireless communication networks. In this letter, we consider the acquisition of the cascaded channels, which is a challenging task due to the massive number of passive RIS elements. To reduce the pilot overhead, we adopt the element-grouping strategy, where each element in one group shares the same reflection coefficient and is assumed to have the same channel condition. We analyze the channel interference caused by the element-grouping strategy and further design two deep learning based networks. The first one aims to refine the partial channels by eliminating the interference, while the second one tries to extrapolate the full channels from the refined partial channels. We cascade the two networks and jointly train them. Simulation results show that the proposed scheme provides significant gain compared to the conventional element-grouping method without interference elimination.

Cuyahoga Falls, Ohio, May 13, 2021 (GLOBE NEWSWIRE) -- Bespoke AI-driven predictive models have traditionally been expensive and normally have taken months to create and deploy, making them the exclusive domain of only the largest financial institutions. Community banks and credit unions have been at a major competitive disadvantage in using predictive analytics and AI to drive business decisions. Segmint, the global leader in transaction cleansing and analytics for financial institutions, announced the launch of its industry leading AI Platform, a cloud-based and always-on predictive modeling engine which can build and deploy custom predictive models for any financial institution within two weeks. Segmint's AI Platform delivers predictive models at incredible speed and scale, using insights that describe the full universe of customer data. The AI Platform boasts seamless data integration with multiple cores where data flows into the models on a daily basis, continuously updating the insights.

Over the past few years, Artificial Intelligence has evolved to become a hot trend in the tech industry. In fact, according to LinkedIn's report on emerging jobs last year, AI and blockchain topped the list. While the practical implications of AI often differ from how it's usually shown on film, here are the 25 best artificial intelligence movies you should watch in 2021. You can expand the table below to see a list of titles and go straight to the AI movie that catches your eye. So without further, let's check out some of the best artificial intelligence movies: If you haven't seen The Matrix yet, I want you to stop whatever you are doing right now and start the binge-fest.

Apple doesn't allow apps that contain third-party games inside its App Store, including Microsoft's Project xCloud streaming service, Facebook Gaming (which is allowed on iOS but doesn't contain games) and GameClub. GameClub was brought up by Apple's Karen Dunn on Wednesday as an example of a competitor to Apple Arcade, the tech giant's gaming subscription service, that is allowed on iOS. But that invocation drew ire from an unexpected source: GameClub itself. The company's vice president of business development, Eli Hodapp, told The Washington Post that GameClub was rejected "well over a hundred times in our quest to getting on the App Store" and "has experienced unnecessary friction due to Apple's requirements."

The use of AI, specifically machine learning, remains a key technological trend whose promise to make work easier and more flexible has never been …

Medical Device Network talks to Alife Health CEO Paxton Maeder-York about the growing role of AI during IVF procedures. Using artificial intelligence …

The pathways companies will use to bring artificial intelligence or machine learning (AI/ML) medical devices and diagnostics to market in the future are …

IMAGE: The historical drawing attributed to the workshop of Enrico Ceruti that inspired the outline parameterization (a) and the geometric modeling adopted in the work (b). How to predict the sound produced by a tonewood block once carved into the shape of a violin plate? What is the best shape for the best sound? These are the conclusions that researchers of the Musical Acoustics Lab of Politecnico di Milano presented in a study that was recently published in Scientific Reports. In the article "A Data-Driven Approach to Violinmaking" the Chilean physicist and luthier Sebastian Gonzalez (post-doc researcher) and the professional mandolin player Davide Salvi (PhD student) show how a simple and effective neural network is able to predict the vibrational be-havior of violin plates.