Paul Abraham Dukas (1 October 1,865 – 17 May 1935) was a French composer, critic, scholar and teacher. A studious man of retiring personality, he was intensely self-critical, having abandoned and destroyed many of his compositions.
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10 AI Tools you must try in 2023. If you have used ChatGPT and noticed the power that Chat GPT provides, and you think it’s time to check out more artificial intelligence tools for business or life, here are some awesome ones!
Check out Codedamn to learn some programming below! They can help you to code and get your first job in the field too!
https://cdm.sh/adrian.
00:00 — Introduction.
00:07 — MidJourney AI Art.
01:24 — Adobe Podcast AI Voice.
02:18 — Nvidia Broadcast — AI Video Geforce.
03:10 — Codedamn — With ChatGPT Support.
04:19 — Descript — AI Video.
05:12 — Notion AI — AI Text Generation.
06:26 — Synthesia — AI Avatar.
07:00 — Resemble AI — Voice AI
07:39 — Soundraw AI — AI Music and Sound.
08:13 — Futurepedia — AI Tools Database.
#ai #tools #chatgpt.
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Artificial intelligence will be 2023’s.
Perhaps nothing indicates this better than OpenAI and its conversational robot ChatGPT. Forbes estimates that it’s already exceeded 5 million users in less than 60 days from launch.
Then, there’s Stability AI’s open-source image generation model Stable Diffusion, which has been used on pop music videos, Hollywood movies and by more than 10 million people on a daily basis. Stability’s brash CEO Emad Mostaque predicts the “dot-AI bubble” is coming. If OpenAI (recently valued at $29 billion) and Stability ($1 billion, off virtually no revenue) are any indication, it’s already begun. While the experts Forbes spoke to have different views on how the market will play out, one thing is for sure: soon, AI will be affecting the way that you work, like it or not.
Here are six things you probably didn’t know about ChatGPT, Stable Diffusion and the future of generative AI. For more, read Forbes’ new magazine feature on the dawn of the work-ready AI era.
Bill Gates is excited about AI, and is now spending 10% of his time back at Microsoft meeting with product teams, he said. He’s not alone: At Google, CEO Sundar Pichai reportedly enacted a “code red” emergency, reorienting the company’s work to focus on ways to counteract ChatGPT and similar tools. In turn, hermetic founders Larry Page and Sergey Brin are back. Forbes broke the news that Brin filed a code request on LaMDA, Google’s natural language chatbot, in January—his first in years.
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Pod (music removed) https://anchor.fm/machinelearningstreettalk/episodes/NO-MUSI…on-e1udbq2
Pod (with music) https://anchor.fm/machinelearningstreettalk/episodes/NO-MUSI…on-e1udbq2
10 minute edit version: https://www.linkedin.com/feed/update/urn: li: activity:7027230550163644416/
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.
The Information Revolution has been transforming the global economy, with the majority of global GDP now relying on intangible goods, such as information-related services. This in turn has led to the generation of immense amounts of data, more than humanity has ever seen in its history. With 95% of this data being generated by the current generation, Professor Floridi believes that we are becoming overwhelmed by this data, and that our agency as humans is being eroded as a result.
According to Professor Floridi, the digital divide has caused a lack of balance between technological growth and our understanding of this growth. He believes that the infosphere is becoming polluted and the manifold of the infosphere is increasingly determined by technology and AI. Identifying, anticipating and resolving these problems has become essential, and Professor Floridi has dedicated his research to the Philosophy of Information, Philosophy of Technology and Digital Ethics.
We must equip ourselves with a viable philosophy of information to help us better understand and address the risks of this new information age. Professor Floridi is leading the charge, and his research on Digital Ethics, the Philosophy of Information and the Philosophy of Technology is helping us to better anticipate, identify and resolve problems caused by the digital divide.
TOC:
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 visual2,3 and semantic4,5,6,7 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.
Footage from Videoblocks, Artlist. Footage of galaxies from NASA and ESO.
Music from Epidemic Sound, Artlist, Silver Maple and Yehezkel Raz.
Image Credits:
NRAO Edward Witten.
Paul, Dirac photo By Science Museum London / Science and Society Picture Library — The physicists Paul Dirac, Wolfgang Pauli and Rudolf Peierls, c 1953.Uploaded by Mrjohncummings, CC BY-SA 2.0, https://commons.wikimedia.org/w/index.php?curid=28024324
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.
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.
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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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