The first concert I bought tickets to after the pandemic subsided was a performance of the British singer-songwriter Birdy, held last April in Belgium. I've listened to Birdy more than to any other artist; her voice has pulled me through the hardest and happiest stretches of my life. I know every lyric to nearly every song in her discography, but that night Birdy's voice had the same effect as the first time I'd listened to her, through beat-up headphones connected to an iPod over a decade ago--a physical shudder, as if a hand had reached across time and grazed me, somehow, just beneath the skin. Countless people around the world have their own version of this ineffable connection, with Taylor Swift, perhaps, or the Beatles, Bob Marley, or Metallica. My feelings about Birdy's music were powerful enough to propel me across the Atlantic, just as tens of thousands of people flocked to the Sphere to see Phish earlier this year, or some 400,000 went to Woodstock in 1969.

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Apple Inc. acquired a startup called AI Music that uses artificial intelligence to generate tailor-made music, according to a person with knowledge of the matter, adding technology that could be used across its slate of audio offerings. The purchase of AI Music, a London-based business founded in 2016, was completed in recent weeks. The company had about two dozen employees before the deal. Technology developed by AI Music can create soundtracks using royalty-free music and artificial intelligence, according to a copy of its now-defunct website. The idea is to generate dynamic soundtracks that change based on user interaction.

This developer code pattern demonstrates how you can create your own music based on your arm movements in front of a webcam. It uses the Model Asset eXchange (MAX) Human Pose Estimator model and TensorFlow.js. This code pattern is based on Veremin, but modified to use the Human Pose Estimator model from the Model Asset eXchange, which is hosted on the Machine Learning eXchange. The Human Pose Estimator model is converted to the TensorFlow.js It is a deep learning model that is trained to detect humans and their poses in a given image.

Holly Herndon has released a new artificial intelligence tool -- which the composer is also referring to as her "digital twin" -- called "Holly " that allows users to upload any polyphonic audio and receive a new version of that music sung in Herndon's own voice. Herndon has been working extensively at the intersection of music and AI technology over the past several years (she previously earned a Ph.D. at Stanford's Center for Computer Research in Music and Acoustics). In 2019, she released an album, Proto, which she made with the help of a neural network she developed named Spawn. While Herndon "grew" Spawn by exposing it to her own voice, the neural network ultimately created its own sounds instead of mimicking Herndon's voice like Holly . Herndon released and developed Holly in collaboration with Never Before Heard Sounds.

They used deep-learning neural networks — computing systems that mimic the operations of a human brain — to analyze massive amounts of music …

Artificial intelligence is here and it's coming for your jobs. That's, at least, what you might think after considering the ever-growing sophistication of AI-generated music. While the concept of machine-composed music has been around since the 1800s (computing pioneer Ada Lovelace was one of the first to write about the topic), the fantasy has become reality in the past decade, with musicians such as Francois Pachet creating entire albums co-written by AI. Some have even used AI to create'new' music from the likes of Amy Winehouse, Mozart and Nirvana, feeding their back catalogue into a neural network. Even stranger, this July, countries across the world will even compete in the second annual'AI Song Contest', a Eurovision-style competition in which all songs must be created with the help of artificial intelligence. But will this technology ever truly become mainstream?

Nisheeth K Vishnoi teaches computer science at Yale University. Sharing his perspective with Times Evoke, he discusses biases that could tilt AI, how algorithms are changing humans -- and whether technology can eventually make music like Ravi Shankar My work in AI explores models and algorithms that can mitigate biases -- recently, a lot of AI-based technology has been shown to be even more biased than human judgement. This poses a serious challenge if decisions on the distribution of social resources or citizens' rights are made by such algorithms. If these include human biases in them, in situations where they're often used, like a judge relying on AI to decide whom to give bail to or not, the algorithms could treat different sections of society very differently. Great art comes from absorbed human attention -- but this ability is now being changed by AI. (Picture courtesy: Getty Images) Our real intelligence One way AI algorithms work is'learning' -- this involves accessing data and training models on that data.

Let's say for the sake of argument you're stuck at home for a long time watching too much of the stuff we euphemistically call "streaming content," by which I mean movies and TV. Come up with your own reason -- anything from being one of Japan's pathologically introverted hikikomori to, say, hiding out from some sort of potentially lethal respiratory virus. In any case, you will at some point sour on all the available programming options and scroll glumly through all the familiar title selection menus until you give up. Tiger King is more of a punch line than a TV show at this point, and, sure, you could plumb the depths of history's most creative auteurs over on the Criterion Channel, but that sounds hard, and if you are like me, you consider reading the morning news emotional labor. But what if there were a movie streaming service with no downsides?

Right now, AI music services are all the rage, and rightly so. The technology, data, and demand is there. As a producer, if you can use online tools to help inspire or improve your productions, why wouldn't you use them? And with platforms such as TikTok and YouTube, the demand to license straight-up beats and background music has never been larger. In this piece, we'll outline the AI services that you can work along side to create new formulas, sounds, and ultimately, songs.