With AI’s ability to automatically produce content and process complicated datasets with high accuracy, museums worldwide are exploring ways in which this innovative technology can help them better achieve their missions and advance accessibility efforts. Through case studies, learn about three applications of this technology: content digitalization, language accessibility, and visual description.
October was filled with new debates on AI policies, a halt to one of the most significant AI safety bills in the United States, and a host of new AI developments in video, music, and even podcasts.
Arts and cultural nonprofits often operate in multiple markets for earned and contributed revenue. With increasing attention on data-driven decision making, effective market orientation often depends on effective data use. This fundamental collection, transmission, use, and interpretation of data within an organization collectively contributes to what can be considered an organization’s data culture.
Museums have increasingly begun to volunteer their spaces as polling places, acting as a democratic vehicle for their communities and adding to the greater fabric of America’s election infrastructure. In doing so, they can support local democratic processes and prove to their communities that they are not unbreachable temples for the elite, but open platforms for the people.
As exemplified by the Hollywood strikes of 2023, we find ourselves in a new era of Artificial Intelligence in film and television. While studios are looking to cut costs, performers seek job security, and consumers seek quality content. Through research conducted in collaboration with facial motion capture technology provider Faceware Technologies Inc., Master of Entertainment Industry Management students at Carnegie Mellon sought to gain insight on how AI-generated content will transform existing industries, including how this technology could affect employment in the entertainment industry, content development, budgets, contracts, legislation, and privacy rights.
Every year we review our analytics to highlight what you, our readers, have found the most compelling. In 12 short months, we have witnessed waves of new technology erupt onto the marketplace, like OpenAI’s Dall-e, and others tumble into chaos, most notably cryptocurrency. The top 10 show how YOU have followed the change.
The application of Virtual and Augmented reality in music has been around for a while. From collaborative creation and interactive music videos to its incorporation in art museums, it seems as if the arts industry is competing with itself to enhance the audience experience. As concerts are a highly user-oriented experience, these technologies have started gaining more traction in the live music space. The demand for interactive and immersive experiences has called for innovative models to be incorporated within music. Thus, the application of such models is added to the concert experience with the implementation of VR and AR technologies to help maximize its interactivity.
Virtual Reality technology puts the user in a computer-generated environment, allowing them to interact with simulated elements via a headset. On the other hand, Augmented reality incorporates elements that are generated, be it visual, audio, or other sensory elements into the real world via technology. AR technology lets the user position his or her smartphone to a point in the physical world and bring it to life by adding virtual components via this technology.
Since its first iteration, Augmented Reality (AR) has been disrupting education, health, entertainment, and many other fields. By enhancing the senses and abilities it has delighted but also aided in solving difficult problems. In arts and culture, AR has transformed static museum displays and provided special effects for stage productions. But the use of AR hasn’t gone much beyond support in storytelling, and the adoption of such a versatile technology as a tool in the production processes has been tentatively explored.
