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Welcome to the first episode of the What ALife! Podcast! In this episode, I speak with Hiroki Sayama - Professor in the Department of Systems Science and Industrial Engineering, and the Director of the Binghamton Center of Complex Systems (CoCo), at Binghamton University (USA) - about all things cellular automata (CA): what they are, where they came from, what they are useful for; as well as his own ground-breaking work in CA systems in the late 90s. We also talk about continuous CA, and what the future of CA might look like. 
We also discuss his more recent work modelling the spread of covid-19 and how artificial life researchers can help address complex societal problems, based on a ⁠short paper of the same name (https://direct.mit.edu/isal/proceedings/isal2021/33/21/102961)

Video of Evoloops in action (YouTube): https://www.youtube.com/watch?v=vbpoTZlNTiw 
Follow Hiroki:
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Mastodon: https://mstdn.science/@hirokisayama
BlueSky: https://bsky.app/profile/hirokisayama.bsky.social

Follow Imy: 
Twitter: https://twitter.com/imy_tk
Get in touch! podcast@imytk.co.uk

Artwork credit: Gabriel J. Severino

Episode 01: Hiroki Sayama

Please enjoy “Incantation II,” the seventh piece from my new album “NetWorks 11: Unfamiliar Order.” 

NetWorks is a music-generating algorithm that seeks to tap into the ceaseless creativity, and organic coherence, found in nature through fine-tuning the connectivity of networks, which channels how information flows through them, and the rules that modify the information as it interacts via their nodes.

Constraints on the connections and interactions between the parts of systems are central to their coherence. Alicia Juarrero in her book, Context Changes Everything writes: “Coherence-making by constraints takes place in physical and biological complex systems small and large, from Bénard cells to human organizations and institutions, from family units to entire cultures. Entities and events in economic and ecosystems are defined by such covarying relations generated by enabling constraints.”

“Incantation II” consists of eight interacting voices. Voices can interact such that, for example, the depth of vibrato performed by one voice can influence the timbral characteristics and movement through 3D (ambisonic) space of a note played by another voice.

Headphone listening is recommended as the piece was mixed using ambisonic techniques.

Unfamiliar Order

Incantations II

Incantation II

One of the boldest questions we could ask AI is this: “Design a causal AI system so intricate that human minds could never independently conceive it.”

Designing a Causal AI System Beyond Human Intuition

Metasynthesis: A Framework for Navigating Complexity and Renewal

This is the Engineering Culture Podcast, from the people behind InfoQ.com and the QCon conferences.
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Courtney Nash about her research on the unintended consequences of automation in software systems, the importance of learning from incidents and maintaining human expertise in complex systems.

Read a transcript of this interview: https://bit.ly/4gY9ZjZ

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Transcript

Resilience, Observability and Unintended Consequences of Automation

Welcome to *AI with Shaily*! 🎙️ I’m Shailendra Kumar, your friendly AI guide, here to take you on a journey through the cutting-edge world of artificial intelligence and its amazing breakthroughs that are shaping our future. 🤖✨

Today’s highlight comes straight from the brilliant minds at MIT, where researchers are tackling one of the toughest challenges: coordinating complex interactive systems. Think about huge transportation networks, fleets of robots, or even scheduling in healthcare—systems with countless moving parts that can easily become overwhelming. 🚗🤖🏥

What’s groundbreaking is their new method that uses category theory, a branch of mathematics, to create simple, elegant diagrams that make these complicated algorithms easy to understand—like sketching ideas on a napkin! 📝✨ Imagine optimizing a city’s transit system not by drowning in endless lines of code, but by looking at a clear, intuitive picture. As someone who works with AI daily, this blend of deep math and practical simplicity is truly inspiring. It’s like AI finally learning to explain itself in a way everyone can grasp! 💡🖼️

But there’s more! MIT’s machine learning-powered planning system can speed up solving complex logistical problems by up to 50%. Whether it’s scheduling hospital staff, managing delivery routes, or streamlining manufacturing workflows, this tech acts like a super-efficient AI assistant that thinks ahead and gets things done faster, freeing humans to focus on bigger challenges. ⏱️🚚🏭

Here’s a handy tip for your own projects: before jumping into coding, try breaking down your problem visually with flowcharts or diagrams. Sometimes, a simple drawing can reveal insights even the smartest algorithms might miss. A trusty pen and paper—or a digital sketchpad—is every AI practitioner’s secret weapon! ✍️🖥️

So, next time you grab your coffee ☕, ponder this: Could the secret to smarter AI be as simple as better ways to visualize complexity?

To close, I’ll share a powerful quote from the legendary mathematician David Hilbert: “We must know—we will know.” Thanks to innovations like MIT’s, we’re steadily moving closer to that vision. 🌟📚

If you enjoyed this episode, follow me, Shailendra Kumar, on YouTube, Twitter, LinkedIn, and Medium at *AI with Shaily* for more bite-sized AI news. Don’t forget to share your thoughts—I love hearing your perspectives! Until next time, keep questioning and keep learning! 🚀🤓

Cracking Complexity: How MIT’s Visual AI is Revolutionizing Real-World Systems

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

I’m a curious explorer of the boundaries between humans and artificial intelligence. I'm fascinated by the questions AI raises about what it means to be intelligent, conscious, or creative. I believe technology is not just a tool but a mirror that reflects our own knowledge and limitations.

https://intelligencerai.substack.com/

Composer, educator and interactive media artist and professional dedicated to creativity and multidisciplinary collaboration. Interested in constructionist approaches to new media education and how interactive technologies and complexity theory enhance and expand the creative process in the traditional arts, new media and game design.

Developed NetWorks, a body of musical work as well as an interactive music-generating algorithm based on scale-free networks. Developer of ~zomes, a sound synthesizer based on a-life models. 

Interest in metacreation dates back to Voices From The Edge of Chaos (1998), a CD of emergent, self–organizing computer music. Received a FACTOR international distribution grant and was subsequently awarded a residency at Lovebytes Labs in Sheffield, England (1999), to produce a piece for Digital Space CD and CD ROM of “innovative new work using digital sound and multimedia”.

Software engineers, architects and team leads have found inspiration to build better, high performing teams by listening to the weekly InfoQ Podcast. We have achieved that by interviewing some of the top CTOs, engineers and technology directors from companies like Uber, Netflix and more. Over 500,000 downloads in the last 3 years.

Musician and writer with broad interests.

New tracks tagged #complex systems