"From Generative Models to Generative Agents" - talk by Koray Kavukcuoglu (@koraykv) from @DeepMindAI at ICLR2018. #ML #Generative
"From Generative Models to Generative Agents" - talk by Koray Kavukcuoglu (@koraykv) from @DeepMindAI at ICLR2018. #ML #Generative
The AI ArtDAO (Decentralized Autonomous Organization) - as outlined by @trentmc0 in https://www.slideshare.net/TrentMcConaghy/tokens-complex-systems-and-nature
"Introducing Computational Creativity" - a brilliant overview presentation by Tony Veale:
https://www.slideshare.net/kimveale/introducing-computational-creativity
Building character AI through machine learning: https://medium.com/mit-media-lab/building-character-ai-through-machine-learning-7a3159dc4940
Role of the audience in creative arts is underestimated. When an artist performs, they've audience in front/back of their mind. Who do ANNs think about when performing?
Good question posed by Harsh Hemani. #ML #Generative #Creativity #Ideas
Office Voodoo: a real-time editing engine for an algorithmic sitcom (2003):
http://alumni.media.mit.edu/~lew/research/voodoo/Voodoo-Siggraph-03-sketch.pdf
Office Voodoo is an interactive film installation using exclusively live action footage and running on a real-time, shot-based editing engine that fluidly assembles the film as it is being watched, while respecting the conventions of continuity editing. Each character in the film is represented by a physical voodoo doll. As viewers manipulate these dolls, they affect the emotions of the people on screen. They can also call the people in the film using their phones.
Bored with your video game? Artificial intelligence could create new levels on the fly
BonsAI - "a smart bonsai plant integrated with artificial intelligence technology":
http://www.japantrends.com/bonsai-smart-bonsai-plant-artificial-intelligence-technology/
BonsAI can also move around, searching for sunlight by itself. When it reaches light, it lights up the LEDs integrated into its pot to show its pleasure.
Rationality Enhancement Lab: https://sites.google.com/site/falklieder/rel #ML
Prediction: Coming soon to Google & Amazon Assistance: "Emotional Care": The AI constantly checks the emotional state of the people in the room (couples/families) & gives vocal warnings if the mood goes "bad". People will love it. I find this vision deeply troubling.
A strategy how to make computational creativity system outputs much better:
Give bots the ability to spend real-world money.
- Generative Music Bot? Let it buy new samples.
- Generative Design Bot? Let it buy new fonts.
- Generative Journalist Bot? Let it hire mechanical turkers.
While this strategy might seems like a "hack" from a "pure", academic computational creativity perspective - it is precisely such hacks that will make generative system outputs become "good enough" across many creative disciplines in the near term.
"Discovering Style Trends through Deep Visually Aware Latent Item Embeddings": https://arxiv.org/abs/1804.08704 #ML
Synthesizing Images of Humans in Unseen Poses: https://arxiv.org/abs/1804.07739v1 #ML
Algorithm Automatically Spots 'Face Swaps' In Videos:
https://www.technologyreview.com/s/610784/this-algorithm-automatically-spots-face-swaps-in-videos/
The new technique could help identify forged videos as they are posted to the web. But the work also has sting in the tail. The same deep-learning technique that can spot face-swap videos can also be used to improve the quality of face swaps in the first place -- and that could make them harder to detect.
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces:
https://arxiv.org/abs/1803.09179
The Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) says it's "fighting back" against the dangers posed by new face-swapping technologies:
https://deadline.com/2018/04/deepfaking-technology-sag-aftra-actors-union-fighting-back-1202371117/
A deepfake homage to Grace Kelly, with Grace Kelly's face replacing Nicole Kidman's:
"Ethical Autonomous Algorithms" - A few chapters Matthieu Cherubini wrote during his PhD: https://medium.com/@mchrbn/ethical-autonomous-algorithms-5ad07c311bcc #ML #Ethics
Interviewed him & the guys at @automato_farm a while back, touching on related topics:
Chancellor Merkel & the German government announced it's plans for a national A.I strategy, unifying all R&D activities to meet growing challenges posed especially by China: http://www.faz.net/aktuell/wirtschaft/unternehmen/kuenstliche-intelligenz-so-will-merkel-china-die-stirn-bieten-15555143.html (DE only) A few brief comments:
Highly ironic choice of image in this article, KUKA Robotics (Germany's leading robot maker) was acquired by the Chinese in 2016. Fascinating to hear Chancellor Merkel specifically talk about the Chinese as primary competitive threat in the AI race - but no the US. What is that about?
Germany and Europe have a unique opportunity when it comes to AI in combination with it's mission to become the world's first 100% renewable economy. The scale of the population (508m people), high education levels and strong industrial base are promising.
Yet in reality, the EU tech sector has been dysfunctional for years. Driven by utopian promises, EU decision makers allowed US corps to dominate the market - taking 100% of user data, while paying close to 0% tax. Such predatory behaviour makes domestic innovation impossible.
Despite such adversarial conditions, there is a real sense of hope in the EU tech scene today. The large US tech companies are under tremendous pressures (privacy, anti-compete, tax, etc.), and local innovation is strong (IP/Talent/Diversity/Continental collaboration). Onwards!