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Complexity Digest
onto Talks June 24, 2014 3:28 PM
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From
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https://www.youtube.com/live/75PAyV83YqE
In the mid-20th century, Alan Turing and John von Neumann developed the theoretical underpinnings of computer science, neuroscience, and AI. They also founded the field of theoretical biology, showing how living systems must necessarily be computational in order to grow, heal, and reproduce. Recent experiments by Blaise Agüera y Arcas’ team at Google have drawn new connections between theoretical biology and computer science, showing how “digital life” can evolve in a purely random universe. Such artificial life doesn’t evolve the way Darwinian evolutionary theory usually presumes, through random mutation and selection, but rather through symbiogenesis, wherein small replicating entities merge into progressively bigger ones. This may be the creative engine behind biological evolution too. In this lecture, Agüera y Arcas will describe how symbiosis explains both life’s origins and its increasing complexity. He’ll also draw connections to social intelligence theories, which suggest that similar symbioses have powered intelligence explosions in humanity’s lineage and those of other big-brained species. Finally, he’ll argue that both modern human intelligence and AI are best understood through this symbiotic lens. Watch at: www.youtube.com
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Nick and Peter wrote a book with the same title (Feedback). They discuss the similarities and differences between the two books. Feedback: How to Destroy and Save the World by Peter Erdi. Feedback: Uncovering the Hidden Connections between Life and the Universe by Nicholas Golledge. Watch/listen at: www.youtube.com
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Playlist with 61 invited talks. ETH Zurich in February 2025 Program at https://www.backtothefuture.ch/program/ Watch at: www.youtube.com
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"The Human in the Machine: navigating the myths and realities of AI towards a future where we shape technology responsibly", Inaugural Lecture of Professor Taha Yasseri, Workday Professor of Technology and Society (2023), 01 April 2025, Faculty of Arts, Humanities, and Social Sciences. Watch at: www.youtube.com
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From
braininspired
Gabriele Scheler co-founded the Carl Correns Foundation for Mathematical Biology. Carl Correns was her great grandfather, one of the early pioneers in genetics. Gabriele is a computational neuroscientist, whose goal is to build models of cellular computation, and much of her focus is on neurons. We discuss her theoretical work building a new kind of single neuron model. She, like Dmitri Chklovskii a few episodes ago, believes we’ve been stuck with essentially the same family of models for a neuron for a long time, despite minor variations on those models. The model Gabriele is working on, for example, respects the computations going on not only externally, via spiking, which has been the only game in town forever, but also the computations going on within the cell itself. Gabriele is in line with previous guests like Randy Gallistel, David Glanzman, and Hessam Akhlaghpour, who argue that we need to pay attention to how neurons are computing various things internally and how that affects our cognition. Gabriele also believes the new neuron model she’s developing will improve AI, drastically simplifying the models by providing them with smarter neurons, essentially. We also discuss the importance of neuromodulation, her interest in wanting to understand how we think via our internal verbal monologue, her lifelong interest in language in general, what she thinks about LLMs, why she decided to start her own foundation to fund her science, what that experience has been like so far. Gabriele has been working on these topics for many years, and as you’ll hear in a moment, she was there when computational neuroscience was just starting to pop up in a few places, when it was a nascent field, unlike its current ubiquity in neuroscience. Listen at: braininspired.co
Via Gabriele Scheler
Gabriele Scheler's curator insight,
April 7, 9:25 AM
Some remarks on how to model thinking in the brain and my personal journey from logic and symbolic computation via neuroscience to a new type of brain-inspired AI.
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From
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Living systems are in constant motion, from the inner workings of our cells to the synchronized movements of bird flocks. What sets these systems apart is that they are powered by tiny, energy-consuming components that generate their own movement and forces. In this talk, I’ll uncover the hidden rules that govern this dynamic behavior and explore how breaking certain physical symmetries, like the familiar flow of time, allows life to organize itself in unexpected ways. I will show how these discoveries help us understand the intricate patterns inside cells, reveal surprising new properties of living materials, and offer a fresh perspective on the physics that shapes the natural world around us. Watch at: www.youtube.com
Alessandro Cerboni's curator insight,
April 9, 6:36 AM
I sistemi viventi sono in continuo movimento, dai meccanismi interni delle nostre cellule ai movimenti sincronizzati degli stormi di uccelli. Ciò che distingue questi sistemi è il fatto di essere alimentati da minuscoli componenti che consumano energia e generano autonomamente il proprio movimento e le proprie forze. In questa conferenza, svelerò le regole nascoste che governano questo comportamento dinamico ed esplorerò come la rottura di alcune simmetrie fisiche, come il familiare flusso del tempo, permetta alla vita di organizzarsi in modi inaspettati. Mostrerò come queste scoperte ci aiutino a comprendere gli intricati schemi all'interno delle cellule, rivelino nuove e sorprendenti proprietà dei materiali viventi e offriranno una nuova prospettiva sulla fisica che plasma il mondo naturale che ci circonda.
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One of the most important events in the history of life on Earth was the emergence of multicellularity. In this episode, Will Ratcliff discusses how his snowflake yeast models provide insight into what drove the transition from single-celled to multicellular organisms. Listen or read at: www.quantamagazine.org
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Prof. Dirk Brockmann is founding Director of the Center Synergy of Systems (Synosys) and Chair of Biology of Complex Systems at TUD Dresden University of Technology. In his inaugural lecture, he discusses the science of complexity, how anti-disciplinary perspectives, the integration of social sciences and natural sciences can help us understand complex phenomena such as the dynamics of pandemic. Read the full article at: www.youtube.com
Alessandro Cerboni's curator insight,
April 9, 6:36 AM
Il Prof. Dirk Brockmann è direttore fondatore del Center Synergy of Systems (Synosys) e titolare della cattedra di Biologia dei Sistemi Complessi presso la TUD Dresden University of Technology. Nella sua lezione inaugurale, discuterà della scienza della complessità e di come le prospettive interdisciplinari e l'integrazione tra scienze sociali e scienze naturali potranno aiutarci a comprendere fenomeni complessi come le dinamiche di una pandemia.
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Rising costs of living and growing debt are leaving individuals and the economy under immense strain. Complexity science reveals how structural shifts in the 1980s created a regime where ideas like trickle-down economics no longer work—but were helpful in addressing the challenges of that time. These policies now drive rising consumer debt, inequality, and economic instability. Read the full article at: www.youtube.com
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From
vimeo
https://vimeo.com/1051684460
Read the full article at: vimeo.com Via Hiroki Sayama
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The results of the 2024 U.S. Presidential Election will send shockwaves through political, social, and economic systems, impacting and exposing deep vulnerabilities in society and governance structures worldwide. What does Complexity Science reveal about the dynamics driving these outcomes, their causes, and broader implications? Read the full article at: www.youtube.com
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https://vimeo.com/1013700688
Binghamton Center of Complex Systems (CoCo) Seminar September 27, 2024 Nelson Fernández (University of Pamplona, Colombia / CoCo Visiting Scholar) Watch at: vimeo.com Via Hiroki Sayama
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How are scientists able to crack fundamental questions about nature and life? How does math make the complex cosmos understandable? In this episode, the physicist Nigel Goldenfeld and co-host Steven Strogatz explore the deep foundations of the scientific process. Read the full article at: www.quantamagazine.org
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From
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Hiroki discussed the relationship between idea generation and social norms, explaining that new ideas can push local social norms in new directions. Watch at: www.youtube.com
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From
www
https://www.youtube.com/watch?v=C9Ncsq0j-jU
AI for Humans Alex Pentland. Stanford HAI Fellow and MIT Toshiba Professor Current AI is designed as a rough emulation of human intelligence. If instead we designed AI to complement human intelligence, we can achieve much more useful performance. I will show examples from finance, science, health, patents, and policy. Watch at: www.youtube.com
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From
vimeo
Réka Albert Jeremy Blackburn Deepak Dhar Mirta Galesic Joaquín Goñi Sarah Muldoon Zoran Obradovic Alessandro Vespingani David Sloan Wilson Watch at: vimeo.com
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Physicist and astrobiologist Sara Imari Walker proposes a new paradigm for using physics to deepen our understanding of what we recognize as life. Assembly theory is a framework that uses the physics of molecular complexity to open a new path to identify where the threshold lies for life to arise from non-life, drawing in insights from new discoveries on the nature of historical contingency and time itself. Watch/read at: longnow.org
Alessandro Cerboni's curator insight,
April 9, 6:35 AM
La fisica e astrobiologa Sara Imari Walker propone un nuovo paradigma per utilizzare la fisica al fine di approfondire la nostra comprensione di ciò che riconosciamo come vita. La teoria dell'assemblaggio è un modello che utilizza la fisica della complessità molecolare per aprire una nuova strada all'identificazione di dove si trova la soglia affinché la vita possa emergere dalla non-vita, attingendo a spunti da nuove scoperte sulla natura della contingenza storica e del tempo stesso.
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From
www
Swarms in nature, including birds, social insects and cells, coordinate in huge numbers to achieve common goals. Their behaviours are self-organised, emerging from the interactions of every agent with their local environment. For the past 20 years, swarm robotics has taken inspiration from nature to make large numbers of robots work together to achieve common goals. With progress in swarm hardware and AI, the field is now ready to translate these swarms from laboratory to application. Join swarm engineering expert Sabine Hauert as she explores the mechanisms to make 'swarms for people', in applications ranging from nanomedicine to environmental monitoring and logistics. The next step is to make swarms easy to design, deploy, monitor, control, and validate towards making swarms that are, and should, be trusted. --- Sabine Hauert is Professor of Swarm Engineering at University of Bristol. She leads a team of 20 researchers working on making swarms for people, and across scales, from nanorobots for cancer treatment, to larger robots for environmental monitoring, or logistics (https://hauertlab.com/). Before joining the University of Bristol, Sabine engineered swarms of nanoparticles for cancer treatment at MIT, and deployed swarms of flying robots at EPFL. She is on the board of directors of the Open Source Robotics Foundation and is Executive Trustee of non-profits robohub.org and aihub.org, which connect the robotics and AI communities to the public.Watch at: www.youtube.com
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From
vimeo
Binghamton Center of Complex Systems (CoCo) Seminar March 28, 2025 Andreas Malikopoulos (Civil and Environmental Engineering, Cornell University) Read the full article at: vimeo.com Via Hiroki Sayama
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From
vimeo
Binghamton Center of Complex Systems (CoCo) Seminar February 26, 2025 Shu-ichi Kinoshita (Mathematical Engineering, Musashino University, Japan / CoCo Visiting Scholar) Watch at: vimeo.com Via Hiroki Sayama
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https://www.youtube.com/watch?v=dgIP90RYrCo
Stephen Wolfram leads an interactive discussion about his recent writing on complexity, and on biological evolution. Read the full article at: www.youtube.com
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https://www.youtube.com/live/bgB8e3Goa2o
Emergence is one of the most fascinating and challenging aspects of complex systems, being also a controversial topic featuring long-standing debates and disagreements. In this talk I’ll introduce a pragmatic and pluralistic stance towards emergence that focusing on facilitating practical methods to establish falsifiable hypotheses and procedures to verify them. This approach will be illustrated by exploring two distinct but complementary operationalisations of emergence: (i) self-contained levels of description and (ii) synergistic interactions between constituents. The talk will review some particle examples, and highlight open questions and directions of future work. Watch at: www.youtube.com
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Binghamton Center of Complex Systems (CoCo) Seminar November 20, 2024 Kimberly Glass (Brigham and Women's Hospital / Harvard Medical School) "Challenges and Opportunities for Biological Network Inference" Watch at: vimeo.com Via Hiroki Sayama
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With lots of data, a strong model and statistical thinking, scientists can make predictions about all sorts of complex phenomena. Today, this practice is evolving to harness the power of machine learning and massive datasets. In this episode, co-host Steven Strogatz speaks with statistician Emmanuel Candès about black boxes, uncertainty and the power of inductive reasoning. Read the full article at: www.quantamagazine.org
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Binghamton Center of Complex Systems (CoCo) Seminar Read the full article at: vimeo.com Via Hiroki Sayama
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