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We are living in an age of rapid technological advancement, and with this growth comes a digital divide. Professor Luciano Floridi of the Oxford Internet Institute / Oxford University believes that this divide not only affects our understanding of the implications of this new age, but also the organization of a fair society.

Continue reading “Prof. LUCIANO FLORIDI — ChatGPT, Superintelligence, Ethics, Philosophy of Information” »

Neural decoding models attempt to identify the current mental state of an individual from recordings of their neural activity¹. In recent years, neural decoders have been developed to identify numerous different types of mental activity from many neuroimaging modalities. These decoders were first developed to decode visual^2,3 and semantic^4,5,6,7 information from the brain, while more recent examples of neural decoders have been developed to decode a diverse set of activities, including, but not limited to, affective states⁸, visual imagery during sleep⁹, and story meaning¹⁰.

Neural decoding models have been developed that make use of many different types of neuroimaging techniques including, but not limited to, functional magnetic resonance imaging (fMRI), electrocortiography (ECoG), electroencephalogram (EEG), and functional near infrared spectroscopy (fNIRS). Depending on the type of neuroimaging technique the neural decoder uses different types of mental processes may be decoded. For example, fMRI provides a recording of activity throughout the entire brain with a very high spatial resolution, allowing a neural decoder the ability to decode mental states involving sub-cortical brain regions¹¹. However, this comes at the cost of poor time resolution, which prevents decoding of mental activity over very short time scales.

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Written by Joseph Conlon.
Professor of Theoretical Physics, University of Oxford.
Author, Why String Theory? https://www.amazon.com/Why-String-Theory-Joseph-Conlon/dp/14…atfound-20
Edited and Narrated by David Kelly.
Thumbnail Art by Ettore Mazza.
Animations by Jero Squartini https://fiverr.com/freelancers/jerosq.
Huge thanks to Jeff Bryant for his Calabi-yau animation.

Continue reading “Have We Really Found The Theory Of Everything?” »

A recent study from researchers at the University of California, Irvine found that the removal of cilia from the striatum region of the brain negatively impacted time perception and judgement, opening the possibility for new therapeutic targets for mental and neurological conditions such as schizophrenia, Parkinson’s and Huntington’s diseases, autism spectrum disorder.

Autism Spectrum Disorder (ASD) is a complex developmental disorder that affects how a person communicates and interacts with others. It is characterized by difficulty with social communication and interaction, as well as repetitive behaviors and interests. ASD can range from mild to severe, and individuals with ASD may have a wide range of abilities and challenges. It is a spectrum disorder because the symptoms and characteristics of ASD can vary widely from person to person. Some people with ASD are highly skilled in certain areas, such as music or math, while others may have significant learning disabilities.

Although not yet released due to copyright issues.

Google researchers say MusicLM is based on a model generating high-fidelity music from text descriptions such as “a calming violin melody backed by a distorted guitar riff”. You can find the details on GitHub.

This article discusses the risks of Generative AI in the Music Industry and puts a spotlight on Google, MusicLM developments and encourages leaders in the music industry to think harder about the future of their industry.

Continue reading “Is Google Displacing Musicians With Its New Generative AI System: Music LM? (Part 1 Of A 2 Part Series)” »

My last article focused on the recent announcement of Google’s MusicLM, although not accessible to the public, due to copyright issues, it does give one new insights that AI is disrupting the value of human talent in the musical field.

Music has been core to humankind for centuries with the first piece of music, a Hurrian Hymn, discovered in the 1950s on a clay tablet inscribed in Cuneiform text. It’s the oldest surviving melody and is over 3,400 years old. Songs are human’s way of communicating stories and encompassing everything we know of as humans.

This article continues to explore the impact of AI on the music industry and looks at some of the pros and the cons, reinforcing the need for increased legal frameworks and copyright protections for musicians.

Continue reading “Impact Of AI On The Music Industry (Part 2 Of A Two Part Series)” »

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References:
►Read the full article: https://www.louisbouchard.ai/musiclm/
►Agostinelli et al., 2023: MusicLM, https://arxiv.org/pdf/2301.11325.pdf.
►Listen to more results: https://google-research.github.io/seanet/musiclm/examples/
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►Support me on Patreon: https://www.patreon.com/whatsai.
►Join Our Discord community, Learn AI Together: https://discord.gg/learnaitogether.

#ai #artificialintelligence #MusicLM

As neural networks become more powerful, algorithms have become capable of turning ordinary text into images, animations and even short videos. These algorithms have generated significant controversy. An AI-generated image recently won first prize in an annual art competition while the Getty Images stock photo library is currently taking legal action against the developers of an AI art algorithm that it believes was unlawfully trained using Getty’s images.

So the music equivalent of these systems shouldn’t come as much surprise. And yet the implications are extraordinary.

A group of researchers at Google have unveiled an AI system capable of turning ordinary text descriptions into rich, varied and relevant music. The company has showcased these capabilities using descriptions of famous artworks to generate music.

Join the ORE community to learn about computational redstone like this at:

Continue reading “I made a 32bit Computer in Minecraft and ran Tetris on it!” »