Simon Colton

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Simon Colton

Simon Colton

@SimonGColton

Generative artist & AI professor at QMUL and Monash unis. #GenerativeArt #NFTs #CreativeAI #FXHash: https://t.co/ZU4tg6RvSQ

London, Melbourne & Zaragoza Katılım Haziran 2017
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Simon Colton
Simon Colton@SimonGColton·
Super excited to announce a new online exhibition of generative art at @etopia_ in Zaragoza: "Imagined Architectures" featuring quote-to-image stills and #GANlapse videos (like time-lapses, but generated). estoyenetopia.es/arquitecturas-… Here is "The Monastery" four seasons GANlapse
Etopia: Emprendimiento, Innovación y Tecnología@etopia_

Imagined Architectures: an online exhibition at @etopia_ featuring architectural designs imagined by an AI system, where nature is integrated sometimes subtly and other times erupts with vibrancy. Artworks by @SimonGColton. #NewEuropeanBauhaus buff.ly/3i7c7ez

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EleutherAI
EleutherAI@AiEleuther·
What does it look for musicians to collaborate with AI systems? We worked with musicians to build on our recent work on audio foundation models at ISMIR '25 to produce a real-time collaborator for piano. arxiv.org/abs/2506.23869 Wed 11-2 pm in room 29 UPSTAIRS
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C.C. Gong
C.C. Gong@CCgong·
For the past year I've noticed @suno dominating the growth chart for genAI mobile apps and I wanted to understand why so I dug in and read thousands of user reviews. Here’s what’s actually happening beneath the surface: 𝟭. 𝗡𝗼𝗻-𝗺𝘂𝘀𝗶𝗰𝗶𝗮𝗻𝘀 𝗮𝗿𝗲 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝗰𝗿𝗲𝗮𝘁𝗼𝗿𝘀. People with zero musical background, folks who’ve never touched a DAW, can’t play an instrument, or describe themselves as “not musically adept” are generating songs for birthdays, inside jokes, poetry, therapy, or just pure fun. This is the same shift we saw when Instagram made everyone a photographer and TikTok made everyone a video creator. 𝟮. 𝗠𝘂𝘀𝗶𝗰𝗶𝗮𝗻𝘀 𝗮𝗿𝗲 𝘂𝘀𝗶𝗻𝗴 𝗦𝘂𝗻𝗼 𝗮𝘀 𝗮 𝘀𝗸𝗲𝘁𝗰𝗵𝗽𝗮𝗱. Songwriters, producers, and hobbyists use Suno to get melodies out of their heads instantly. Not as a replacement for craft, but as a fast ideation engine. It removes the friction between inspiration and output, which, historically, has been hours of recording, arranging, and editing. 𝟯. 𝗡𝗲𝘄 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝗲𝘀 𝗮𝗿𝗲 𝗲𝗺𝗲𝗿𝗴𝗶𝗻𝗴. Users are experimenting with wild prompts, blending genres, creating fictional bands, generating variations of their own tracks, or making songs as gifts. Music is shifting from a static good to a participatory medium. 𝟰. 𝗣𝗲𝗼𝗽𝗹𝗲 𝘄𝗶𝘁𝗵 𝗮𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗻𝗲𝗲𝗱𝘀 𝗮𝗿𝗲 𝗰𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗺𝗼𝗿𝗲 𝗺𝘂𝘀𝗶𝗰. Visually impaired users and those who’ve never had access to traditional tools are composing through simple voice-over or text prompts. Lowering the barrier to creation expands who gets to express themselves. 𝟱. 𝗧𝗵𝗲 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝗿 𝗶𝘀 𝗮𝗱𝗱𝗶𝗰𝘁𝗶𝘃𝗲, 𝗶𝗻 𝗮 𝗵𝗲𝗮𝗹𝘁𝗵𝘆 𝘄𝗮𝘆. Review after review shows people creating daily. Not listening. Creating. That is a profound behavioral shift: from consumption → production → identity. Music has always been the most closed, skill-gated creative form. Suno is flipping that. It’s moving music from something you listen to into something you participate in. When technology enables new creative muscles in ordinary people, it unlocks entirely new markets. We’ve seen this before and every time it reshapes culture.
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Sebastian Risi
Sebastian Risi@risi1979·
I’m beyond excited to announce our MIT Press book on Neuroevolution! An HTML version is now available for free on neuroevolutionbook.com, with a print edition coming out later in 2026. Real intelligence is not static; it evolves. For decades, the field of neuroevolution has pursued this necessary adaptability. Our book chronicles its development, from early concepts to its modern integration with deep learning and reinforcement learning, exploring its potential for understanding the origins of intelligence and its real-world applications. And the companion webpage is more than just a book site! It comes equipped with interactive demos, videos, exercises, and tutorials to allow everyone to experience neuroevolution in action. Check it out and let us know what you think! It was a pleasure to work on this book over the last 4+ years with David (@hardmaru), Yujin (@yujin_tang), and Risto. We are incredibly proud of the result and look forward to celebrating! We hope to connect with many of you at NeurIPS. We are very grateful to Melanie Mitchell (@MelMitchell1) who provided a fantastic foreword. To quote her: “The next big thing in AI is coming, and I suspect that neuroevolution will be a major part of it”. We think so too!
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hardmaru
hardmaru@hardmaru·
Excited to announce our MIT Press book “Neuroevolution: Harnessing Creativity in AI Agent Design” by Sebastian Risi (@risi1979), Yujin Tang (@yujin_tang), Risto Miikkulainen, and myself. We explore decades of work on evolving intelligent agents and shows how neuroevolution can drive creativity in deep learning, RL, LLMs and AI Agents! 📖 Free open-access edition: neuroevolutionbook.com In addition to our own works, this video features work by Jürgen Schmidhuber (@SchmidhuberAI), Seth Bling (@SethBling), Igor Karpov, Jacob Schrum, Yulu Gan (@yule_gan), Ken Stanley (@kenneth0stanley), Joel Lehman (@joelbot3000), Jeff Clune (@jeffclune), Nick Cheney (@CheneyLab), Richard Song (@XingyouSong), Chelsea Finn (@chelseabfinn), Julian Togelius (@togelius), Sam Earle (@Smearle_RH), Hod Lipson (@hodlipson), and Jean-Baptiste Mouret (@jb_mouret).
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Stefan Lattner
Stefan Lattner@deeplearnmusic·
🎶 Internship Opportunity — Sony CSL Paris Music Team Focus: Artist-centric music AI Location: Paris, France Duration: 3-6 months Start date: January-June 2026 (flexible) About the Team The Music Team at Sony Computer Science Laboratories (CSL) Paris is working on the future of AI-assisted music creation. We explore how AI can empower creativity rather than replace it. Our research spans human-AI collaboration, interactive audio generation, live performance tools, and music cognition, all centered on artists’ real-world workflows and creative needs. Internship Mission We’re seeking a creative and technically skilled research intern to contribute to the development of artist-centric AI tools. You will work with our research team to design, implement, and test cutting-edge machine learning algorithms, which will form the basis of tools that enhance artistic control and exploration. Candidate Profile Essential: - Strong Python skills - Experience with a machine learning framework (PyTorch strongly preferred) - Comfortable using the command line in Linux environments - Background in at least one of: audio signal processing / acoustics / music theory / music cognition - Experience training modern neural networks Strongly preferred: - Familiar with the design of modern transformers - Familiar with major classes of modern generative models (autoregressive, diffusion/flow-based) - Currently pursuing a Master's or PhD in computer science, AI, EE, music technology, or equivalent Bonus: A strong interest in music, whether you play it, produce it, or listen to a lot of it. Publications in relevant conferences or journals (ISMIR, ICASSP, AES, ICLR, NeurIPS, ICML). 👉 How to Apply Send your CV and a short motivation statement to cslmusicteam@sony.com.
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Chris Donahue
Chris Donahue@chrisdonahuey·
🎵Music Arena ⚔️ was accepted to the NeurIPS 2025 Creativity Track, and we've released a big update to celebrate! Includes new models from @SonautoAI and @elevenlabs. Also, Music Arena is now available as a 🤗 @huggingface space and dataset!
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ISMIR Conference
ISMIR Conference@ISMIRConf·
A huge congratulations to the winners of the Best Student Paper Award at #ISMIR2025! 🏆 Kudos to Ben Hayes, Charalampos Saitis, and György Fazekas for their fantastic work: "Audio synthesizer inversion in symmetric parameter spaces with approximately equivariant flow matching." Ever heard a synth sound and wondered how to recreate it? It's a notoriously hard problem because different knob settings can create the same sound. This paper offers a brilliant solution, using generative models that understand a synth's inherent symmetries (like swappable oscillators). Their method significantly outperforms baselines on a complex, real-world synth, Surge XT!
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CDT Artificial Intelligence+Music
🎶 AIM is heading to the world’s top MIR conference @ISMIRConf in Daejeon🇰🇷! 19 of our members co-authored 13 papers, 2 tutorials & 2 journal articles, led MIREX tasks, and co-organised the LLM4MA workshop and virtual conference! Full details: aim.qmul.ac.uk/aim-at-ismir-2…
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CDT Artificial Intelligence+Music
We're proud to showcase four groundbreaking projects at UKAIRS 2025, exploring the frontier of AI in music. We also have Elona Shatri hosting a workshop on ethics in AI research. Join us to rethink the future of sound, tech, and responsibility. aim.qmul.ac.uk/aim-at-ukairs-…
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mike cook
mike cook@mtrc·
I'm speaking at New Scientist Live next month! What a normal time to be writing a talk about the future of AI. Come and join me to hear about the possible futures that lie ahead for us, and what we can learn from the past. More info and tickets here: live.newscientist.com/nsl-london-202…
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Huan
Huan@HuanZha80395890·
We are excited to announce that the online audition phase for RenCon 2025 has officially begun! RenCon 2025 is an international challenge where researchers and developers submit systems capable of rendering expressive musical performances from symbolic scores. We need your help as judges for the preliminary round! The online evaluation allows the community to listen to and rate the submitted performances, helping us select the top systems for the live contest at ISMIR. Evaluation page: ren-con2025-audition-page.vercel.app Submissions: Each participant has submitted 2 required pieces and 1 free-choice piece, and we have anonymized them. Rating entry: Provide your assessment in google form: forms.gle/yavdcf5pRLjxN3… Deadline for evaluation: September 15, 2025 (AoE) Your expertise and participation are crucial for the success of this competition. The top systems from this online phase will advance to the live contest at ISMIR 2025 in Daejeon, Korea. For more information about RenCon 2025, please visit: ren-con2025.vercel.app
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dadabots
dadabots@dadabots·
Explorer - Music and Artificial Intelligence: Artistic Trends-- Interactive analysis of 337 AI music projects from 2017-2025 Check it out! >> domenicostefani.com/ai-music-artis… Thanks @dom_stefani for giving Dadabots our own button 🫠🫠
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Julian Togelius
Julian Togelius@togelius·
New benchmark just dropped! Not just a benchmark, though - a piece of essential infrastructure for game generation, playing, and design research. There are thousands of games in PuzzleScript, and now you can interface them with deep learning. And it’s in Jax, so FAST!
Sam Earle@Smearle_RH

We introduce PuzzleJAX, a benchmark for reasoning and learning. 🧩💡🦎 PuzzleJAX compiles hundreds of existing grid-based PuzzleScript games to hardware-accelerated JAX environments, and allows researchers to define new tasks via PuzzleScript's concise rewrite rule-based DSL.

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