aceEvidence-backed gain
AI Feature 'Gods Don't Give Gifts' Poised To Make Next Leap From YouTube To Big Screen
A fully AI film, Gods Don't Give Gifts, is poised to become the next feature to leap from a popular YouTube channel to the big screen.
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133 stories · page 6 of 9
Evidence-backed problem
Deezer says AI music now makes up half of all daily song uploads.
The music streaming platform receives almost 90,000 AI-generated tracks each day, a jump from the 75,000 it last reported in April. Using its AI music detection tool, Deezer now says it will take down AI tracks “used to generate fraudulent streams,” in addition to those that haven’t been streamed in six months or more. [Link: AI Music Tops 50% of Daily Uploads on Deezer | https://newsroom-deezer.com/2026/07/ai-music-exceeds-50-percent-daily-uploads-deezer/ | Deezer Newsroom]
Evidence-backed problem
Sony sues Udio again over 30,000 songs, seeks $4.5bn
Sony has filed a second lawsuit against AI music generator Udio over 30,117 recordings, using rivals’ licensing deals to attack Udio’s fair-use defence.
Evidence-backed gain
Artificial Intelligence in Sports Biomechanics: A Scoping Review on Wearable Technology, Motion Analysis, and Injury Prevention
This scoping review examines the application of artificial intelligence (AI) in sports biomechanics, with a focus on enhancing performance and preventing injuries. The review addresses key research questions, including primary AI methods, their effectiveness in improving athletic performance, their potential for injury prediction, sport-specific applications, strategies for translating knowledge, ethical considerations, and remaining research gaps. Following the PRISMA-ScR guidelines, a comprehensive literature…
Both readings
The AI Art Paradigm: Disruptions in the Digital Art Ecosystem and Future Trends
Art has been integral to human life and evolution since the dawn of time, merging creativity with technological advances. In today's digital art domain, generative AI models such as text-to-image generators create high-quality art in seconds, challenging the current digital art ecosystem. Human artists fear displacement. Consumers and galleries criticize AI art. Policies and legal laws continue to address AI art's ethical, social, and economic implications. Anti-AI groups see AI art as a threat to anthropocentri…
Both readings
SHAP-based interpretable machine learning for injury risk prediction in university football players: a multi-dimensional data analysis approach
Sports injury prediction is crucial for university football player health, yet existing research predominantly focuses on professional athletes and lacks interpretability. Using the Kaggle "University Football Injury Prediction Dataset" (800 Chinese university players), we constructed a comprehensive 18-feature evaluation system across four dimensions: basic information, training factors, physical fitness, and lifestyle habits. We systematically compared 10 machine learning algorithms. The Support Vector Machine…
Evidence-backed problem
Reclaiming the Humanities in AI-Generated Music: Language, Identity, and Social Media Circulation in Folk and Rock Traditions
Generative artificial intelligence (AI) has transformed music production from a specialist studio practice into a prompt-based, platform-mediated activity in which songs, lyrics, voices, and genre markers can be produced almost instantly. This article repositions the debate about AI music within the intersection of language, technology, and social media by examining folk and rock music as communicative traditions rather than merely sonic products. Using a qualitative critical-hermeneutic design, the study analyz…
I used Google AI Mode to create new YouTube Music playlists instantly - and these 7 prompts helped me find new music faster than ever
With YouTube Music becoming one of Google AI Mode’s new Connected Apps, I used these 7 prompts to create new playlists and discover a wealth of new artists & music
Peterborough music community divided over AI use for concert posters
Some musicians and artists in Peterborough are pushing back on the use of artificial intelligence to create concert posters and other musical promotions.
Artificial Intelligence in Music Generation: Techniques, Applications, and Challenges
The rapid advancement of artificial intelligence (AI), particularly in the field of deep learning, has significantly impacted creative domains such as music generation. From rule-based approaches to powerful generative models, AI is now capable of composing melodies, harmonies, and entire musical pieces with a degree of coherence and creativity previously thought to be uniquely human. This paper explores the evolution of AI-driven music generation, examining key technologies in- cluding Recurrent Neural Networks…
LSTM and CNN-Based Detection of AI-Generated Classical Music From MIDI Features
Detecting AI-generated classical music is a growing challenge as artificial intelligence continues to improve its ability to compose pieces that closely resemble human compositions. This study explores the use of deep learning methods like LSTM and CNN to classify whether a set of classical music is generated by AI or humans. The classification is based on sequential features extracted from MIDI files using beat-based segmentation, capturing statistical data of pitch, velocity, and duration over segments. The mo…
Motion Capture Technology in Sports Scenarios: A Survey
Motion capture technology plays a crucial role in optimizing athletes' skills, techniques, and strategies by providing detailed feedback on motion data. This article presents a comprehensive survey aimed at guiding researchers in selecting the most suitable motion capture technology for sports science investigations. By comparing and analyzing the characters and applications of different motion capture technologies in sports scenarios, it is observed that cinematography motion capture technology remains the gold…
MANAGEMENT OF AI-GENERATED MUSIC INTELLECTUAL PROPERTY
The recent dramatic improvement of artificial intelligence (AI) in creative fields has transformed the production of music, raising complicated issues of intellectual property (IP) rights. In this paper, the author discusses the legal and ethical issues surrounding the management of AI-generated music in the current legal context. It starts by describing the concept of AI-generated music and the technology of deep-learning and neural network that makes this kind of autonomous composition possible. An analysis of…
Artificial intelligence in the music streaming value chain: Exploring artists' and users’ perceptions on content creation and algorithmic consumption
Artificial Intelligence (AI) plays a pivotal role throughout every stage of the music industry value chain. In fact, AI has been integral to the value proposition of music streaming platforms since their inception. This research article investigates how AI—and in particular, Generative AI (GenAI)—affects the creation and consumption stages, the two most socially significant components of the music streaming value chain. It explores users’ perceptions of the impact of AI/GenAI on their music-listening experience…
Reclaiming the Sonic Archive: AI, Data Sovereignty, and the Future of Mijikenda Music
This paper examines the ethical implications and risks of applying artificial intelligence (AI) to Indigenous musical heritage, with a specific focus on the Mijikenda communities in the coast of Kenya. Traditional AI tools, deeply rooted in Western systems of knowledge, carry a significant risk of perpetuating digital colonialism. This manifests through the decontextualisation of sacred musical practices and the infringement of crucial data sovereignty rights. The study aims to analyse the fundamental effects em…
