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Archive for the ‘media & arts’ category: Page 14

Jul 7, 2024

Systemic Therapy Approaches for Advanced Prostate Cancer

Posted by in categories: augmented reality, biotech/medical, business, education, food, health, media & arts

As part of the 2024 Prostate Cancer Patient Conference, Dr. Eric Small discusses systemic therapy treatment in advanced prostate cancer, including AR-targeted therapy. The presentation includes definitions of disease states, categories of treatment types, and standards in treatment selection.
Recorded on 03/09/2024. [Show ID: 39768]

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Jul 5, 2024

The World of For All Mankind EXPLAINED

Posted by in categories: media & arts, space

Go to https://tryfum.com/ORANGERIVER or scan the QR code and use code ORANGERIVER to get your free FÜM Base when you order your Journey Pack today.

#forallmankind #scifi #space.

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Jul 4, 2024

Song melodies have become simpler since 1950, study suggests

Posted by in category: media & arts

The complexity of the melodies of the most popular songs each year in the U.S.—according to the Billboard year-end singles charts—has decreased since 1950, a study published in Scientific Reports suggests.

Madeline Hamilton and Marcus Pearce analyzed the most prominent melodies (usually the vocal ) of songs that reached the top five positions of the US Billboard year-end singles music charts each year between 1950 and 2022. They found that the complexity of rhythms and pitch arrangements decreased over this period as the average number of notes played per second increased. They also identified two significant decreases in melodic complexity that occurred in 1975 and 2000, along with a smaller decrease in 1996.

The authors speculate that the melodic changes that occurred in 1975 could represent the rise of genres such as new wave, disco and stadium rock. Those occurring in 1996 and 2000 could represent the rise of hip-hop or the adoption of digital audio workstations, which enabled the repeated playing of audio loops, they add.

Jul 4, 2024

Ilya Sutskever | AGI neural network will become the super brain of mankind | We will live in fantasy

Posted by in categories: media & arts, robotics/AI

Jul 3, 2024

Automatic Mechanical Self Replication

Posted by in categories: computing, media & arts

Randomly found on my hard drive.

Jul 3, 2024

Dan Dennett: The Evolution of Understanding on Several Levels

Posted by in categories: evolution, media & arts

Jul 2, 2024

Scientists Discuss Longevity Interventions & Optimisms | 45 — K-Lab Reunion

Posted by in categories: life extension, media & arts

Check the description to go a little faster.

Jun 26, 2024

13 Signs You’re a ZETA Male (Don’t IGNORE These) | Zeta Male Personality Traits

Posted by in category: media & arts

Join us as we explore the different male personality types and the unique char…

Jun 25, 2024

Music study reveals brain’s predictive power

Posted by in categories: media & arts, neuroscience

Ever heard just a snippet of a song and instantly known what comes next? Or picked up the rhythm of a chorus after just a few notes? New research from the Center for Music in the Brain at Aarhus University and the Centre for Eudaimonia and Human Flourishing at the University of Oxford has uncovered what happens in our brain when we recognize and predict musical sequences.

Jun 24, 2024

Navigating the labyrinth: How AI tackles complex data sampling

Posted by in categories: media & arts, robotics/AI

Generative models have had remarkable success in various applications, from image and video generation to composing music and to language modeling. The problem is that we are lacking in theory, when it comes to the capabilities and limitations of generative models; understandably, this gap can seriously affect how we develop and use them down the line.

One of the main challenges has been the ability to effectively pick samples from complicated data patterns, especially given the limitations of traditional methods when dealing with the kind of high-dimensional and commonly encountered in modern AI applications.

Now, a team of scientists led by Florent Krzakala and Lenka Zdeborová at EPFL has investigated the efficiency of modern neural network-based generative models. The study, published in PNAS, compares these contemporary methods against traditional sampling techniques, focusing on a specific class of probability distributions related to spin glasses and statistical inference problems.

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