Overview Kaggle projects provide real-world experience in AI and machine learning.Participants gain practical skills in NLP, computer vision, and predictive mod ...

One trend that has grown over the past six years is “TikTok music” — music created for the chance to gain popularity on the social media platform. These songs tend to be centered around short, catchy ...

Anyone from the UK or Europe likely already knows what “gabber” is. However, this subgenre of electronic dance music never really hit the States like it did elsewhere. If you’ve never heard of it, you ...

The consortium running the European Space Agency's (ESA) Euclid mission has published the most extensive simulation of the cosmos to date. The modeling was based on algorithms developed by UZH ...

In September 1996, early in a misbegotten youth — though not nearly as misbegotten, I should say for the record, as Liam Gallagher’s — my friend Gary and I attended an Oasis concert at Jones Beach, on ...

It’s playful. Effortlessly viral. Deliberately tacky. You’ve probably heard it before though you might not know what it is — or where it’s from. This is budots, a genre of dance music rooted in the ...

Tune in to NewsNation’s “Decision Desk 2025” special coverage of nationwide elections Tuesday, live from 7 p.m. to 12 a.m. EST. The special coverage will be hosted by NewsNation’s Chris Cuomo, ...

If you’ve been scrolling on TikTok lately and seeing videos asking, “Who’s going to the NYC music festival this weekend?” or “There’s a big music festival happening tonight in LA, spread the word!” — ...

A real-time music genre classification system that combines classical machine learning techniques with a CNN trained on mel-spectrograms. The hybrid model utilizes DSP-based feature extraction and ...

The country’s biggest landlord, Greystar, has reached an agreement with the U.S. Department of Justice to stop using algorithms based on competitors’ data to set rent prices. Greystar manages more ...

Abstract: The task of music genre classification in the realm of Music Information Retrieval is considered very challenging because audio features have varied complexity and overlapping nature. This ...