Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Say More Switch Off Creator Playbook Mashable Voices Trending Now Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List In My Bag All Series The lawsuit claims the AI company is engaging in the most blatant ongoing thefts of intellectual property in history. Sony Music and Warner just filed a lawsuit alleging that Anthropic developed Claude models using stolen music. Music giants Sony Music Publishing and Warner Chappell Music have just filed a potentially multibillion-dollar lawsuit against Anthropic, and the publishers aren't mincing words. The lawsuit, filed Friday evening in the U.S. District Court for the Northern District of California, calls Anthropic the culprits behind one of the largest and most blatant ongoing thefts of intellectual property in history. Sony and Warner also named Anthropic CEO and cofounder Dario Amodei and cofounder Benjamin Mann in the lawsuit.

My idea for this project started when I found out about the existence since 2010 of the Million Song Dataset, a freely-available collection of audio features and metadata for a million contemporary popular music tracks. Since music is one of my passions, it seemed appropriate to base one of my first Data Science projects on this subject. The core of the dataset was provided by the company The Echo Nest. Its creators intended it to perform music identification, recommendation, playlist creation, audio fingerprinting, and analysis for consumers and developers. In 2014 The Echo Nest was acquired by Spotify, which incorporated that song information into their systems.

Spotify has announced the acquisition of Niland, a machine learning startup based out of Paris. The music company made the announcement itself this week, explaining that Niland shares its'passion for surfacing the right content to the right user at the right time.' Spotify plans to use the company's technology and know-how to improves its own recommendation abilities, doing so with the power of artificial intelligence behind it. Spotify announced the acquisition on Wednesday, saying that the Niland team will be joining the music company's own team in its New York office. The terms of the deal weren't revealed, such as how much Spotify paid for the company or when the deal was finalized. We do know, however, that personalized recommendations on Spotify are about to get much better than to the startup's work in machine learning and artificial intelligence.

Advancement in computers and technology have been incredibly positive for music creators around the globe. You can learn how to produce music on YouTube, purchase the same sample libraries as your favorite composers and create epic scores from your laptop, anywhere in the world. As a result, there are more music producers than ever. Computers helping humans create original music has become today's standard, but there are several companies looking to turn the tables on this process. Computer-generated songs are a fast-growing sector of the industry, looking to disrupt creation, licensing and access for musicians and non-musicians alike.

Advancement in computers and technology have been incredibly positive for music creators around the globe. You can learn how to produce music on YouTube, purchase the same sample libraries as your favorite composers and create epic scores from your laptop, anywhere in the world. As a result, there are more music producers than ever. Computers helping humans create original music has become today's standard, but there are several companies looking to turn the tables on this process. Computer-generated songs are a fast-growing sector of the industry, looking to disrupt creation, licensing and access for musicians and non-musicians alike.

Advancement in computers and technology have been incredibly positive for music creators around the globe. You can learn how to produce music on YouTube, purchase the same sample libraries as your favorite composers and create xustpic scores from your laptop, anywhere in the world. As a result, there are more music producers than ever. Computers helping humans create original music has become today's standard, but there are several companies looking to turn the tables on this process. Computer-generated songs are a fast-growing sector of the industry, looking to disrupt creation, licensing and access for musicians and non-musicians alike.