Computer scientist and artist based in New Jersey, USA, a pioneer at the intersection of Art and Artificial Intelligence. Prof. Elgammal is a professor of computer science at Rutgers University. He is the founder and director of the Art and Artificial Intelligence Laboratory, which focuses on data science in the domain of digital humanities. Prof. Elgammal is also the founder of Playform, a platform that focus on making AI accessible to artists. He was part of our very successful curated exhibition Digital Baroque in 4ART App Marketplace, in collaboration with Palm. Discover NFT+ art https://4artmarketplace.com/home Chapters: 0:00 Intro 0:31 Introduce yourself, Ahmed Elgammal 1:22 Where do you take inspiration from? 2:15 Where has Ahmed Elgammal exhibited before 4:45 How did Elgammal arrive into the NFT world 7:14 4ARTechnologies is the connection of physical and digital art 9:22 Elgammal as part of the Digital Baroque Exhibition with 4ARTechnologies 12:31 Working with 4ARTechnologies Prof. Elgammal developed a variant of GAN called CAN (“creative adversarial networks”) based on a theory of how new artistic styles evolve. AICAN (AI Creative Adversarial Network) was designed as an autonomous AI artist and collaborative creative partner. AICAN is the first machine generated artist to pass the Turing Test. AICAN has partnered with SuperRare to bring its Faceless Portrait Transcending Times series, Permutation series and Birth of Venus to NFT.
As part of the AI & Cultural Heritage event, IAS Visiting Fellow Ahmad Elgammal delivers his talk ‘AI and Art, from the Micro Level to the Macro Level’ In this talk, Elgammal will present results of recent research activities at the Art and Artificial Intelligence Laboratory at Rutgers University. We investigate perceptual and cognitive tasks related to understanding human creativity in visual art. In particular, we study problems related to art styles, influence, and iconography. We develop computational models that aim at providing answers to questions about what characterizes the sequence and evolution of changes in style over time. He will talk about how AI can help analyze art in new ways, at the micro level and macro level. #LboroAI #AI #CulturalHeritage #Archives #Museums #Libraries For more information about the IAS, please visit – https://www.lboro.ac.uk/research/ias
Machine Learning, Abstract Thought, and the Expanding Reach of AI: Ethical and Conceptual Frontiers A conference and workshop co-hosted by the Institute for Research in Sensing (IRiS) and the Department of Philosophy at the University of Cincinnati, with support from the Taft Research Center.
Advances in Artificial Intelligence are changing everything around us. Are art and creativity immune from the perceived AI takeover? In this talk, Dr. Ahmed Elgammal will highlight the symbiotic relationship between AI and art. He will argue why investigating perceptual and cognitive tasks related to human creativity is essential to advancing AI and how AI is changing the way art is made. Dr Ahmed Elgammal is the director of the Art and Artificial Intelligence Laboratory, and a professor of computer science at Rutgers University. He is the founder and CEO of Artrendex, a startup that builds innovative AI technology for the art market. Dr. Elgammal research on knowledge discovery in art history and AI art generation, received wide international media attention, including reports on the Washington Post, New York Times, NBC News, the Daily Telegraph, Science News, New Scientist, and many others. In 2017, an Artsy editorial acclaimed AICAN as “the biggest artistic achievement of the year”. In 2016, a TV segment about his research, produced for PBS, won an Emmy award. AICAN art has been shown in several technology and art venues in Los Angeles, Frankfurt, San Francisco, and New York City. Looking for more? Check out EGG On Air! https://bit.ly/37GhXMY CHECK OUT DATAIKU: https://bit.ly/36XBlpK BRIGHTTALK WEBINARS: https://bit.ly/33TIRjn DATA SCIENCE PIONEERS DOCUMENTARY: https://bit.ly/36V3rBF PARTNER ECOSYSTEM: https://bit.ly/3oCbk5k DATAIKU ACADEMY: https://bit.ly/2LjsEgZ DATAIKU COMMUNITY: https://bit.ly/2K8lOtV DATA SCIENCE AND ANALYTICS MEETUPS: https://bit.ly/3n0ar5R BANANA DATA PODCAST: https://bit.ly/36UFgDs Linkedin: https://bit.ly/3lXyRMb Twitter: @dataiku Instagram: @dataiku Turn on our channel notifications for the latest data science and [More]
FUTUROLOGICAL CONGRESS – Humanity in the Age of Artificial Intelligence. Ahmed Elgammal, computer scientist and artist giving a speech about AI as an art collaborator. www.futurologicalcongress.it
Ahmed Elgammal of ArtRendex and Rutgers speaks about art and artificial intelligence at the Creative Tech Week Conference, May 11 2019. The CTW2019 Conference was held at the NYIT Auditorium on Broadway and produced by Isabel Walcott Draves.
Ahmed Elgammal, Rutgers University. This video is part of a series of lectures from the symposium ‘SEARCHING THROUGH SEEING: OPTIMIZING COMPUTER VISION TECHNOLOGY FOR THE ARTS’ presented by The Frick Collection and the Frick Art Reference Library on Thursday and Friday, April 12-13, 2018. This two-day symposium was an initiative to harness existing tools in computer vision science for art-historical research and advise their development. To this end, the symposium brought together professionals from the fields of computer science and art history to identify the precise technological needs for expanding image-based searching as a tool and a methodology with the ultimate aim of building a usable image-search platform with multiple applications in the arts. [previously hosted on Vimeo: 214 views]
Advances in Artificial Intelligence are changing everything around us. Are art and creativity immune from the perceived AI takeover? In this talk, Dr. Ahmed Elgammal will highlight the symbiotic relationship between Ai and art. He will argue why investigating perceptual and cognitive tasks related to human creativity is essential to advancing AI and how AI is changing the way art is made.
Today we’re joined by Ahmed Elgammal, a professor in the department of computer science at Rutgers, and director of The Art and Artificial Intelligence Lab. In my conversation with Ahmed, we discuss: • His work on AICAN, a creative adversarial network that produces original portraits, trained with over 500 years of European canonical art. • How complex the computational representations of the art actually are, and how he simplifies them. • Specifics of the training process, including the various types of artwork used, and the constraints applied to the model. The complete show notes for this episode can be found at twimlai.com/talk/265.
Ahmed will present to us the algorithm that can define the creativity level in art works. As well, he will also try to answer the question whether AI can replace the artist in the future. Ahmed nám predstaví algoritmus, ktorý dokáže určiť mieru kreativity v umeleckých dielach. Taktiež sa pokúsi zodpovedať otázku, či môže v budúcnosti umelá inteligencia nahradiť umelca. Dr. Ahmed Elgammal is a professor at the Department of Computer Science and Executive Council Faculty at the Center for Cognitive Science at Rutgers University. He is the founder and director of the Art and Artificial Intelligence Laboratory at Rutgers. Dr. Elgammal is also the founder and CEO of Artrendex, a startup that builds innovative AI technology for the creative domain. Prof. Elgammal published over 160 peer-reviewed papers, book chapters, and books in the fields of computer vision, machine learning, and artificial intelligence. His research on knowledge discovery in art history and AI art generation, received wide international media attention, including reports on the Washington Post, New York Times, NBC News, the Daily Telegraph, Science News, New Scientist, and many others. In 2017, an Artsy editorial acclaimed his work on AI generated art as “the biggest artistic achievement of the year”. In 2016, a TV segment about his research, produced for PBS, has won an Emmy award. He received the National Science Foundation CAREER Award in 2006. Dr. Elgammal received his M.Sc. and Ph.D. degrees in computer science from the University of Maryland, College Park, in 2000 and 2002, respectively. [More]