What is happening in the cerebral cortex when someone hears a melody?
Music has been central to human cultures for tens of thousands of years, but how our brains perceive it has long been shrouded in mystery.
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METROPOLIS a film by Fritz Lang — Version “Cobra — 2022” — 4K Remastered — 60fps — Also available on UHD 4K download!
Re-edited \& Reframed — New Time Mapping (some technical considerations below):
New Intertitles \& English Adaptation — Screenplay by Maximianno Cobra.
Physicists found that the music of Johann Sebastian Bach contains mathematical patterns that help convey information.
By Elise Cutts
A halloween eve exploration of two of the spookiest solutions to the Fermi Paradox. The Dark Forest Hypothesis and the Berserker Hypothesis.
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Engaging in music throughout your life is associated with better brain health in older age, according to a new study published by experts at the University of Exeter.
Scientists working on PROTECT, an online study open to people aged 40 and over, reviewed data from more than a thousand adults over the age of 40 to see the effect of playing a musical instrument—or singing in a choir—on brain health. Over 25,000 people have signed up for the PROTECT study, which has been running for 10 years.
The team reviewed participants’ musical experience and lifetime exposure to music, alongside results of cognitive testing, to determine whether musicality helps to keep the brain sharp in later life.
How Columbia conservators, Nano Initiative scientists, and a music scholar used state-of-the-art technology to examine a score.
The newly understood text thought to be from Epicurean philosopher Philodemus, talks about music, food, and enjoying life.
A grand prize of $700,000 has been awarded to three scholars for producing the first readable text of the scrolls that were charred during the Mount Vesuvian eruption in 79 AD.
A network-theory model, tested on the work of Johann Sebastian Bach, offers tools for quantifying the amount of information delivered to a listener by a musical piece.
Great pieces of music transport the audience on emotional journeys and tell stories through their melodies, harmonies, and rhythms. But can the information contained in a piece, as well as the piece’s effectiveness at communicating it, be quantified? Researchers at the University of Pennsylvania have developed a framework, based on network theory, for carrying out these quantitative assessments. Analyzing a large body of work by Johan Sebastian Bach, they show that the framework could be used to categorize different kinds of compositions on the basis of their information content [1]. The analysis also allowed them to pinpoint certain features in music compositions that facilitate the communication of information to listeners. The researchers say that the framework could lead to new tools for the quantitative analysis of music and other forms of art.
To tackle complex systems such as musical pieces, the team turned to network theory—which offers powerful tools to understand the behavior of discrete, interconnected units, such as individuals during a pandemic or nodes in an electrical power grid. Researchers have previously attempted to analyze the connections between musical notes using network-theory tools. Most of these studies, however, ignore an important aspect of communication: the flawed nature of perception. “Humans are imperfect learners,” says Suman Kulkarni, who led the study. The model developed by the team incorporated this aspect through the description of a fuzzy process through which a listener derives an “inferred” network of notes from the “true” network of the original piece.
Researchers used artificial intelligence to decipher the text of 2,000-year-old charred papyrus scripts, unveiling musings on music and capers.
Google has launched Gemini, a new artificial intelligence system that can seemingly understand and speak intelligently about almost any kind of prompt—pictures, text, speech, music, computer code, and much more.
This type of AI system is known as a multimodal model. It’s a step beyond just being able to handle text or images like previous algorithms. And it provides a strong hint of where AI may be going next: being able to analyze and respond to real-time information from the outside world.
Although Gemini’s capabilities might not be quite as advanced as they seemed in a viral video, which was edited from carefully curated text and still-image prompts, it is clear that AI systems are rapidly advancing. They are heading towards the ability to handle more and more complex inputs and outputs.
