Author: cxdig

Why We Die: The New Science of Aging and the Quest for Immortality

Venki Ramakrishnan 30th Ulam Lecture Night 2 The knowledge of aging and death has driven human culture, including our religions, ever since we became aware of our mortality. For much of our existence there was not much we could do about it. But over the past few decades, biology has made major advances in our understanding of the causes of aging, opening for the first time the possibility of intervening in the process. At the same time, the combination of longer lives and reduced fertility rates means that many societies are faced with an aging population. This has led to large investments in aging research from governments and private industry funded largely by tech billionaires, resulting in both real advances and a large amount of hype. In this talk, Venki Ramakrishnan will discuss some of the key findings about why and how we age and die and prospects for the future. He will also explore the possible consequences of societies with extremely long-lived populations.

Watch at: www.youtube.com

My Adventures in the Ribosome: The Cellular Machine that Reads our Genes

Venki Ramakrishnan 30th Ulam Lecture Night 1 Ramakrishnan will provide a history of molecular visualization, as well as take us through his work at the MRC Laboratory of Molecular Biology in Cambridge, England, where his team determined the atomic structure of the 30S ribosomal subunit and its complexes with ligands and antibiotics. Everyone is familiar with DNA, but by itself, DNA is just an inert blueprint for life. It is the ribosome — an enormous molecular machine made up of a million atoms — that makes DNA come to life, turning our genetic code into proteins and therefore into us. He will talk about the ribosome (the “Gene Machine”), and how his team learned about its structure. He will also share some recent developments, including the development of cryoEM — a powerful technique used to determine the structure of three-dimensional structure of biological molecules at near-atomic resolution.

Watch at: www.youtube.com

CfP Special collection: The Evolving Landscape of Complex Systems

The Evolving Landscape of Complex Systems is a curated special collection in npj Complexity inspired by themes explored at the Conference on Complex Systems 2025 (CCS25). This collection consolidates emerging advances in theory, methodologies, and applications across the multifaceted area of complexity science. It seeks contributions that span the full spectrum – from novel computational frameworks and multiscale analyses to domain-adaptive models and novel complexity science applications – reflecting the discipline’s rapid evolution.
This collection invites novel research that explores:

Conceptual foundations and theory: advancements in network science, emergent dynamics, agent-based modelling, nonlinear systems, and adaptive behaviours, providing refined lenses for interpreting complex phenomena.
Cross-scale integration and robustness: studies elucidating how micro-level interactions scale up to macro-level patterns, resilience, and adaptation in systems spanning biological, social, technological, and ecological networks.
Computational innovation: cutting-edge analytical and computational methods – ranging from data-driven approaches and AI-augmented modelling to novel simulations and multilevel inference – that enhance the understanding and manipulation of complex systems.
Interdisciplinary and application-oriented research: compelling case studies where complexity science addresses urgent global challenges – such as pandemics, misinformation, climate change, socioeconomic inequality, inclusivity and diversity, and governance – demonstrating adaptability and societal relevance.
Submissions are welcomed from all researchers working in complexity science, regardless of conference participation.

More at: www.nature.com

A Formal Definition of Scale-Dependent Complexity and the Multi-Scale Law of Requisite Variety

Alexander F. Siegenfeld and Yaneer Bar-Yam

Entropy 2025, 27(8), 835

Ashby’s law of requisite variety allows a comparison of systems with their environments, providing a necessary (but not sufficient) condition for system efficacy: A system must possess at least as much complexity as any set of environmental behaviors that require distinct responses from the system. However, to account for the dependence of a system’s complexity on the level of detail—or scale—of its description, a multi-scale generalization of Ashby’s law is needed. We define a class of complexity profiles (complexity as a function of scale) that is the first, to our knowledge, to exhibit a multi-scale law of requisite variety. This formalism provides a characterization of multi-scale complexity and generalizes the law of requisite variety’s single constraint on system behaviors to a class of multi-scale constraints. We show that these complexity profiles satisfy a sum rule, which reflects a tradeoff between smaller- and larger-scale degrees of freedom, and we extend our results to subdivided systems and systems with a continuum of components.

Read the full article at: www.mdpi.com

What Is Intelligence? by Blaise Agüera y Arcas

COMPUTATION IS A TECHNOLOGY TO THINK WITH. It is an instrument for epistemological discovery. It changes not only what we know but how we know.
Computation was discovered as much as it was invented. It is part of how the universe works, including, as Blaise Agüera y Arcas gracefully shows, what intelligence is.
Among the many rich takeaways that await you as you read What is Intelligence? is that much of what is traditionally categorized as “life,” “intelligence,” and “technology” is combining in new ways (think synthetic biology, artificial life, and AI). So too are the definitions of these terms, in ways that would have been unthinkable only a few years ago.
Are these three words—life, intelligence, technology—actually different names for the effects of a more general process? Just as life is a factory for making more life, and technology is a factory for making more technology, now life makes technologies that make new life that makes new technologies. Ultimately, it may be the same factory, and at its heart is computation.
That such a claim could be made at all is due in no small part to the creative and curious use of our computational tools—or what we might more precisely call artificial computation. With these we discover that the otherwise imperceivable building blocks of our reality and of our own flesh are themselves computational. Computation discovers itself through us.

Read the full book at: whatisintelligence.antikythera.org