Join David Ha from StabilityAI for a meme-packed overview of generative AI and what the future of diffusion models holds in store. This talk is part of Hugging Face’s Diffusion Models Course: Bio: David Ha is the Head of Strategy at Stability AI. He previously worked as a Research Scientist at Google, working in the Brain team in Japan. His research interests include complex systems, self-organization, and creative applications of machine learning. Prior to joining Google, He worked at Goldman Sachs as a Managing Director, where he co-ran the fixed-income trading business in Japan. He obtained undergraduate and masters degrees from the University of Toronto, and a PhD from the University of Tokyo. Twitter: Website:
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Canada Media Fund director of Industry and Market Trends Catherine Mathys hosts a panel on AI’s role in the creative industries at the “Analog: Artificial Intelligence and Creativity” conference in Toronto, on December 6, 2019. Is creativity exclusive to humans? How AI is already changing entertainment? What to expect in the next few years? Those are but a few of the questions explored by: – New media art curator and critic Shauna Jean Doherty; – University of Toronto professor Steve Engels; – Greenlight Essentials founder Jack Zhang. For more information:
Sagar Patel, Ana Arriola, Saschka Unseld and Jamie Myrold chime in on AR, VR, and AI in this panel discussion that took place at San Francisco Design Week.
The afore-mentioned responsibility encompasses the encouragement of creative practices, as well as an openness for polymaths and cross-disciplinary approaches. There is a strong expectation that art-science-technology collaborations provide a valuable strategy for developing new and before unknown approaches by embracing errors and encouraging diversity, which allows a reflection on itself and its impact on society. These reflexions are essential for the creation of functioning human-machine interfaces in the further development steps of artificial intelligence. Anna Maria Brunnhofer works at the interface of business and creativity in strategy and experience consulting. Her focus is on contemporary technologies and their potential to change existing structures. With her broad background in economics and ethics, fashion design, art studies, and philosophy, her holistic approach to physical and digital matters is a particular strength. Ars Electronica
View full lesson: People have been grappling with the question of artificial creativity — alongside the question of artificial intelligence — for over 170 years. For instance, could we program machines to create high quality original music? And if we do, is it the machine or the programmer that exhibits creativity? Gil Weinberg investigates this creative conundrum. Lesson by Gil Weinberg, animation by TOGETHER.
Artists have long used technology–from photography to Photoshop–to push their ideas into new territory. Playform offers the latest opportunity for artists and creators to explore the edge of technological possibility and express their humanity. It harnesses AI’s power and turns it into the perfect co-creating companion. Last year, AICAN gained international acclaim as the first AI-artist awarded solo exhibitions at such galleries as HG Contemporary and SCOPE New York. Now, a team of scientists and artists have transformed AICAN’s revolutionary technology into a “creative soulmate” for visual thinkers: Playform. Playform utilizes generative AI to enrich creativity rather than replace it. Playform is the only user-friendly software that allows artists to custom train the AI with their own images and provides a variety of features for experimentation. Its ‘Sketch to Image’ tool transforms simple sketches into full-fledged images with color, texture, and stunning detail. Artist Devin Gharakhanian partnered with Playform to develop the ‘Creative Morph’ tool, used to create his portrait series as seen at the SCOPE Art Fair. Most recently, artist Qinza Najm exhibited her Playform collaborative series at the National Museum of China, attracting over 1 million visitors! Dr. Ahmed Elgammal, director of the Art and Artificial Intelligence Laboratory, joins me on the podcast to talk about the relationship between technology, art and much more.
Artificial Intelligence in Creative Writing Slides:
Creative Innovation 2016 Asia Pacific (Ci2016) “The Exponential Shift: Making Transformation Happen” Martin Ford is a leading expert on the robot revolution, artificial intelligence, job automation and the impact of accelerating technology on the economy and society. He is the founder of a Silicon Valley-based software development firm and the author of two books: New York Times bestselling Rise of the Robots: Technology and the Threat of a Jobless Future and The Lights in the Tunnel: Automation, Accelerating Technology and the Economy of the Future. He has over 25 years of experience in computer design and software development, and holds a computer engineering degree from the University of Michigan, Ann Arbor and a graduate business degree from UCLA. In this interview, Martin points out the disruptive impact technology is going to have on the job market. He hopes to offer real solutions for everyone to thrive in an era of disruption. Creative Innovation 2016 Asia Pacific was held on the 7-9th November, 2016. The central theme of this year will was ‘The Exponential Shift:making transformation happen’. The event this year showcased world changing innovators, disruptors, futurists, scientist, inspired thinkers and curious souls gathered together in an interactive community. Creative Innovation 2016 Asia Pacific is the premiere conference for anyone who cares about creativity, innovation, leadership and transformation. Ci2016 delivered world class creative and exponential thinking, innovation leadership and pragmatic solutions. Offered credible forecasts, strategies and practices to help transform you and prepare the leadership of organisations for disruption in [More]
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
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]
Computational creativity—a subdomain of artificial intelligence concerned with systems that replicate or assist human creative endeavors—has been the  subject of academic inquiry for decades. Now, with recent improvements in machine learning techniques and the rising popularity of all things AI, computational creativity is a medium for critically and commercially successful works of art. From a 2016 Rembrandt to Jukedeck’s instant music (or muzak?), AI-assisted and AI-driven works are a reality. This raises mind-bending questions about the nature of creativity, the relationship between the artist and the viewer, even the existence of free will. For many lawyers, it also raises a more immediate question: who owns all of this art? Cyberlaw Clinicians Jess Fjeld and Mason Kortz discuss copyright in AI-generated works, the need for a shared understanding of what is and isn’t up for grabs in a license, and how forward-thinking contracts can prevent AI developers and artists from having their rights decided by our (often notoriously backwards-looking) legal system. Learn more about this event here:
Jakob and his team are exploring the intersection between human creativity and new technologies, with focus on idea generation and co-creation. In his talk, he will describe how the new possibilities arising from big data and artificial intelligence will enhance our capacity to collaborate and innovate at scale. And make new friends! Jakob is a 50+ year old family father with a life long passion for skiing and sailing. After spending half of his working life in big cities and large corporations, he moved with his family to Åre, a small mountain village in Northern Europe and founded a start-up company. As entrepreneurs, Jakob and his team are exploring the intersection between human creativity and new technologies, with focus on idea generation and co-creation. In his talk, he will describe how the new possibilities arising from big data and artificial intelligence will enhance our capacity to collaborate and innovate at scale. And make new friends! This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at – Machine intelligence is improving rapidly, to the point that the scientist of the future may not even be human! In fact, in more and more fields, learning machines are already outperforming humans. Artificial intelligence expert Jürgen Schmidhuber isn’t able to predict the future accurately, but he explains how machines are getting creative, why 40’000 years of Homo sapiens-dominated history are about to end soon, and how we can try to make the best of what lies ahead. In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)