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Sennheiser generated €492.3 million in sales in 2024, despite “volatile market conditions”
#MusicTech #MusicBiz

Sennheiser generated €492.3 million in sales in 2024, despite “volatile market conditions”
The Sennheiser Group generated sales of €492.3 million across the 2024 financial year, despite facing “turbulent times” across the economic landscape. 

KI & Urheberrecht: Worauf Unternehmen bei generativer KI achten müssen
Im Webinar am 16. September gibt der Fachdienst heise KI PRO Einblick in die rechtlichen Aspekte beim Einsatz von KI-Tools für Text, Bild, Audio, Video & Code.

🤦🏻‍♀️BlackRock’s Bitcoin ETF Generating More Revenue Than Its Flagship S&P 500 Fund
https://www.coindesk.com/markets/2025/07/02/blackrock-s-bitcoin-etf-now-generates-more-revenue-than-its-flagship-s-and-p-5…

E.A.R.T.H.: Structuring Creative Evolution through Model Error in Generative AI
Yusen Peng, Shuhua Mao
https://arxiv.org/abs/2507.18004 https://arxiv.org/p…

E.A.R.T.H.: Structuring Creative Evolution through Model Error in Generative AI
How can AI move beyond imitation toward genuine creativity? This paper proposes the E.A.R.T.H. framework, a five-stage generative pipeline that transforms model-generated errors into creative assets through Error generation, Amplification, Refine selection, Transform, and Harness feedback. Drawing on cognitive science and generative modeling, we posit that "creative potential hides in failure" and operationalize this via structured prompts, semantic scoring, and human-in-the-loop evaluation. Im…

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
Yunsung Chung, Yunbei Zhang, Nassir Marrouche, Jihun Hamm
https://arxiv.org/abs/2506.19360

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
Advances in generative models have transformed the field of synthetic image generation for privacy-preserving data synthesis (PPDS). However, the field lacks a comprehensive survey and comparison of synthetic image generation methods across diverse settings. In particular, when we generate synthetic images for the purpose of training a classifier, there is a pipeline of generation-sampling-classification which takes private training as input and outputs the final classifier of interest. In this…

#catcontent meets #RDM: "A collection of AI generated images visualising various RDM aspects" https://zenodo.org/records/16925229

Melania Trump says she hopes to become the First Lady of Technology as she leads the Presidential AI Challenge to inspire children and teachers to embrace AI (Miranda Devine/New York Post)
https://nypost.com/2025/08/25/opinion/

Exclusive | First lady Melania Trump will head effort to teach next generation about AI
First lady Melania Trump will lead the Presidential Artificial Intelligence Challenge to inspire children and teachers to embrace AI technology and help accelerate innovation in the field.

SATORI: Static Test Oracle Generation for REST APIs
Juan C. Alonso, Alberto Martin-Lopez, Sergio Segura, Gabriele Bavota, Antonio Ruiz-Cort\'es
https://arxiv.org/abs/2508.16318

SATORI: Static Test Oracle Generation for REST APIs
REST API test case generation tools are evolving rapidly, with growing capabilities for the automated generation of complex tests. However, despite their strengths in test data generation, these tools are constrained by the types of test oracles they support, often limited to crashes, regressions, and noncompliance with API specifications or design standards. This paper introduces SATORI (Static API Test ORacle Inference), a black-box approach for generating test oracles for REST APIs by analyz…

Captain Cinema: Towards Short Movie Generation
Junfei Xiao, Ceyuan Yang, Lvmin Zhang, Shengqu Cai, Yang Zhao, Yuwei Guo, Gordon Wetzstein, Maneesh Agrawala, Alan Yuille, Lu Jiang
https://arxiv.org/abs/2507.18634

Captain Cinema: Towards Short Movie Generation
We present Captain Cinema, a generation framework for short movie generation. Given a detailed textual description of a movie storyline, our approach firstly generates a sequence of keyframes that outline the entire narrative, which ensures long-range coherence in both the storyline and visual appearance (e.g., scenes and characters). We refer to this step as top-down keyframe planning. These keyframes then serve as conditioning signals for a video synthesis model, which supports long context l…

GenHSI: Controllable Generation of Human-Scene Interaction Videos
Zekun Li, Rui Zhou, Rahul Sajnani, Xiaoyan Cong, Daniel Ritchie, Srinath Sridhar
https://arxiv.org/abs/2506.19840

GenHSI: Controllable Generation of Human-Scene Interaction Videos
Large-scale pre-trained video diffusion models have exhibited remarkable capabilities in diverse video generation. However, existing solutions face several challenges in using these models to generate long movie-like videos with rich human-object interactions that include unrealistic human-scene interaction, lack of subject identity preservation, and require expensive training. We propose GenHSI, a training-free method for controllable generation of long human-scene interaction videos (HSI). Ta…