AI systems for music tagging have been around for quite a while. Ever since the mid-2010s, music streaming services have been competing for the most innovative music recommendation system using sophisticated tagging AI in the background. Slowly, production music libraries and music labels have caught on to tagging AIs, using it to categorize, filter, and query their huge music databases. Today, even artists are using auto-tagging systems to gain objective insights into their music to find the right audience for it. Although widespread, little is known about the inner workings of auto-tagging systems.

On Thursday, a pair of tech hobbyists released Riffusion, an AI model that generates music from text prompts by creating a visual representation of sound and converting it to audio for playback. It uses a fine-tuned version of the Stable Diffusion 1.5 image synthesis model, applying visual latent diffusion to sound processing in a novel way. Created as a hobby project by Seth Forsgren and Hayk Martiros, Riffusion works by generating sonograms, which store audio in a two-dimensional image. In a sonogram, the X-axis represents time (the order in which the frequencies get played, from left to right), and the Y-axis represents the frequency of the sounds. Meanwhile, the color of each pixel in the image represents the amplitude of the sound at that given moment in time.

The author has been performing with GenJam, the Genetic Jammer, for nearly 20 years and has accumulated a wealth of experiences in performing live jazz with technology. This paper presents a discussion of the use of technology in jazz, both from the performer's and from the audience's perspective, and it proposes a classification scheme for live performance that is geared to mainstream performing situations.

In his autobiography, Miles Davis complained that classical musicians were like robots. He spoke from experience – he'd studied classical music at Juilliard and recorded with classical musicians even after becoming a world-renowned jazz artist. As a music professor at the University of Florida, which is transforming itself into an "AI university," I often think about Davis' words, and the ways in which musicians have become more machinelike over the past century. At the same time, I see how machines have been getting better at mimicking human improvisation, in all aspects of life. I wonder what the limits of machine improvisation will be, and which human activities will survive the rise of intelligent machines.

Bengaluru NFAPost: SoundHound Inc., the leading innovator of voice-enabled AI and conversational intelligence technologies, today announced a milestone in its strategic partnership with Honda Motor Company with the integration of its Houndify voice AI platform into the new Honda e electric car and the top selling Honda Jazz in Europe. The Honda Personal Assistant--powered by Houndify--gives drivers an in-car conversational interface allowing them to control their environment, while accessing navigation, entertainment, and information hands-free. The personal assistant supports five major European languages. Houndify voice AI includes patented Speech-to-Meaning and Deep Meaning Understanding technologies to deliver unprecedented speed and accuracy in voice recognition and responses. The platform's ability to understand context, such as the user's location or previous queries, eliminates the need to repeat information and allows more natural conversations.

Artificial intelligence and machine learning has the potential to boost many, many areas of the enterprise. As explored in my recent post, it is capable of accelerating and adding intelligence to supply chain management, human resources, sales, marketing and finance. The inevitable impact of AI on IT departments was touched on in a recent survey of 2,280 business leaders from MIT Sloan Management Review and SAS, which finds that in these early days of AI, IT professionals will be feeling the greatest impact -- both from a career and an operational point of view.. CIOs, chief data officers, and chief analytics officers will be on the front lines of AI implementations, the study finds. IT road maps, software development, deployment processes, and data environments are likely to be transformed in the near future. Most IT managers report that they are still developing foundational capabilities for AI -- cloud or data center infrastructure, cybersecurity, data management, development processes and workflow.

Machine learning (ML) is changing our lives. We can instantly translate from one language to another, search entire libraries in a matter of seconds, and even prevent credit card fraud. ML's success is mostly due to the power of artificial neural networks -- a machine learning model inspired by how the brain works -- massive datasets, and a lot of computational power. However, while these ML applications are making our lives easier, we have not really solved the artificial intelligence (AI) agent. A true AI agent should be able to perform well in a broad range of tasks.

A pair of musicians-turned-programmers used a John Coltrane record to train a neural network. The result is a provocative glimpse of what it sounds like when an algorithm deconstructs a piece of human art -- and reassembles it into something a human would never create. The music the algorithm produces, which is streamed live 24 hours a day, is uncanny. Let's just say that it's not your dad's jazz. Dadabots, which is a collaboration between coders CJ Carr and Zack Zukowski, has done other experiments with AI-generated music.

Jazz, Pakistan's leading digital communications company, and Afiniti, a multinational advanced analytics company, have partnered to implement Artificial Intelligence (AI) solutions in customer service contact centers across Pakistan, fostering significant gains in customer satisfaction and revenues. As part of its long-term commitment to meet and exceed customer satisfaction, Jazz engaged Afiniti to use their AI powered contact centre technology to optimize call outcomes at Jazz's customer service contact centres. By analyzing call histories and other CRM data, Afiniti's algorithm predicts patterns of interpersonal behavior and matches callers with Jazz's contact centre agents best equipped to serve them. "Industries globally are advancing rapidly thanks to AI and we wanted to use this technology for the benefit of our customers," said Aamir Ibrahim, CEO Jazz. "Afiniti's solution is intuitive, seamless and measurable, and a part of Jazz's broader customer obsession motto. "Afiniti is the world's premier provider of applied artificial intelligence solutions, having delivered billions of dollars in measurable economic value to its clients around the world.

Utah Jazz head coach Quin Snyder had heavy praise for reigning MVP James Harden ahead of Game 2. Snyder had compared Harden to artificial intelligence on Tuesday and was asked to expand on that before Wednesday night's game. "The way he plays, there's an artistic nature to it… Obviously he's skilled, but I think the way he processes the game… He literally sees the whole court." I think the way he plays, there's an artistic nature to it. The feel that he has for different things on the court. He's able to put the ball on different locations that he wants, to manipulate spacing.