In Creative (Artificial) Intelligence, artist and key researcher Ali Nikrang explores the latest research on artificial intelligence and creativity by asking the question, "Can machines create?". This third episode from the Anniversary Series will be broadcast on June 4 at 6 p.m. on the occasion of the 25th anniversary of the Ars Electronica Futurelab via Ars Electronica Home Delivery. It comments on a controversially discussed hype and examines the methods of creative collaboration between humans and machines.
Ali Nikrang illuminates the creative potential of algorithms and reveals surprising possibilities for constructive collaboration with the user. He explains important basics from the field of artificial intelligence: What A Ghost Dreams Of is an AI that generates deep fakes from images of museum visitors that are indistinguishable from real portraits. The language model GPT-2 (OpenAI) also uses the creativity of an artificial intelligence to create text with credible content.
However, using his AI-based music composition system Ricercar, the MuseNet composition Mahler Unfinished, and Sounding Letters – an AI that translates letters into a musical composition – Ali Nikrang demonstrates that it is still human creativity that differentiates analog from digitally generated work.
Photo showing: Ali Nikrang
What a ghost dreams of – h.o.
AI System: John Brumley
Surveillance Application: Hiroshi Chigira
Technical Direction: Hiroshi Chigira, John Brumley, Taizo Zushi
Art Direction, Concept: Hideaki Ogawa, John Brumley, Hiroshi
Chigira, Emiko Ogawa, Taizo Zushi
Eye Blinks Editing / Directing: Martina Sochor
Eye Blinks Cinematography: Jonatan Salgado Romero
Eye Blinks Model: Andressa Miyazato
Photography: Florian Voggeneder
Face Photo Booth: Ali Nikrang
This project utilizes the AI algorithm StyleGAN (Karras et al. 2018)
About h.o: www.howeb.org/about
Ars Electronica Futurelab: Florian Berger, Ali Nikrang
GPT-2 (Alec Radford et al. 2019)
Orchestra: Bruckner Orchestra Linz, principal conductor: Markus Poschner
Artificial Intelligence: MuseNet by OpenAI, Christine M. Payne
Ars Electronica Futurelab: Ali Nikrang, Peter Freudling, Stefan Mittlböck, Roland Aigner
Live Visualizations: Akiko Nakayama
Ricercar & Sounding Letters
Inside Futurelab: 25th Anniversary Series – Episode 3 – Creative (Artificial) Intelligence is a thought-provoking exploration of the intersection of art and artificial intelligence. This episode delves into the ways in which AI is being used to create, inspire, and innovate in the realm of creativity. From generating visual art to composing music, AI is pushing the boundaries of what is possible in the artistic realm.
The episode features interviews with leading experts in the field of creative AI, showcasing the cutting-edge developments and the potential for AI to revolutionize the artistic process. Viewers will gain insights into the latest advancements in AI technologies, as well as the ethical and philosophical implications of using AI as a creative tool.
As part of Futurelab’s 25th Anniversary Series, this episode celebrates the history of AI in art and looks to the future of creative (artificial) intelligence. It is a must-watch for anyone interested in the evolving relationship between technology and the arts.
Artificial intelligence (AI) is a rapidly growing and evolving field that has the potential to revolutionize the way businesses operate. With its ability to analyze, interpret, and create data, AI can be used to streamline processes, improve decision-making, and drive innovation across a wide range of industries.
Business use cases for AI include data normalization, synthetic data generation, content generation, and more. By leveraging AI technologies such as Flutter, Dialogflow, Firebase, OpenAI, and large language models, businesses can gain a competitive edge and deliver enhanced value to their customers.
For example, data normalization using AI can help businesses clean, standardize, and organize their data for more effective analysis and reporting. This can lead to better insights and informed decision-making, ultimately driving business growth and efficiency.
Synthetic data generation is another powerful use case for AI in businesses. By using AI to create realistic but artificial data, businesses can train and test their systems in a safe and controlled environment, without the need for large volumes of real-world data. This can be particularly useful in industries such as healthcare, finance, and manufacturing, where privacy and security are critical concerns.
Content generation is yet another area where AI can add significant value to businesses. By using AI-powered language models, businesses can automate the creation of reports, articles, marketing materials, and more. This not only saves time and resources but also ensures a consistent and high-quality output.
With the rapid advancements in AI technologies such as Flutter, Dialogflow, and Firebase, businesses can create personalized and intelligent customer experiences. AI-powered chatbots and virtual assistants can handle customer queries, provide recommendations, and even complete transactions, all while learning and adapting to the individual needs of each customer.
In addition, the emergence of large language models (LLMs) such as GPT-3 has opened up new possibilities for businesses to automate and improve their natural language processing tasks. From translation and summarization to sentiment analysis and conversational AI, LLMs are empowering businesses to deliver more meaningful and engaging experiences to their customers.
Overall, AI is proving to be a game-changer for businesses across various industries, offering new opportunities for innovation, efficiency, and customer satisfaction. As the technology continues to evolve, businesses that embrace and harness the power of AI will undoubtedly thrive in the rapidly evolving digital landscape.
Tagged: , ars electronica , ars electronica futurelab , ali nikrang , episode 3 , inside futurelab , ai music , music composition system , artificial intelligence , creative intelligence , neural network , musenet , open ai , mahler unfinished , gpt-2 , what a ghost dreams of , ricercar , sounding letters , language model