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Category: biological – Page 6

Recorded 6 November 2024. Michael Levin of Tufts University presents “Non-neural intelligence: biological architectures for problem-solving in diverse spaces” at IPAM’s Naturalistic Approaches to Artificial Intelligence Workshop. Abstract: The familiar, readily-recognized intelligence of brainy animals has long served as inspiration for AI. However, biological intelligence is far older than neurons, and indeed than multicellularity. My lab studies problem-solving in cells, tissues, and even subcellular components, operating in different spaces and at different scales than conventional intelligent agents. In this talk, I will describe a framework for detecting, communicating with, and creating collective intelligences, and show examples of how the fundamental properties of life suggest novel approaches for ethically relating to diverse and fascinating engineered and hybrid intelligences. Learn more online at: https://www.ipam.ucla.edu/programs/wo…

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Growing evidence suggests that subatomic phenomena can shape fundamental activities in cells, including how organisms handle energy at the smallest scales. Quantum biology, as it’s being called, is no longer just a fringe idea among researchers.

On May 5, 2025, scientists at The Hebrew University of Jerusalem announced a study linking quantum mechanics with key cellular functions in protein-based systems.

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What happens when intelligence escapes the bounds of flesh and bone? In this episode, we explore post-biological civilizations—entities that may trade biology for digital minds, machine bodies, or stranger forms still—and ask what becomes of identity, purpose, and humanity when the body is no longer required.

Watch my exclusive video Antimatter Propulsion: Harnessing the Power of Annihilation — https://nebula.tv/videos/isaacarthur–… Nebula using my link for 40% off an annual subscription: https://go.nebula.tv/isaacarthur Get a Lifetime Membership to Nebula for only $300: https://go.nebula.tv/lifetime?ref=isa… Use the link gift.nebula.tv/isaacarthur to give a year of Nebula to a friend for just $30. SFIA Discord Server: / discord Credits: Post-Biological Civilizations: Life Beyond Flesh and Bone Episode 498a; May 11, 2025 Written, Produced & Narrated by: Isaac Arthur Edited by: Ludwig Luska Select imagery/video supplied by Getty Images Music Courtesy of Epidemic Sound http://epidemicsound.com/creator Chris Zabriskie, “Unfoldment, Revealment” Phase Shift, “Forest Night” Lewis Gill, “The Phobos Diary” Stellardrone, “Red Giant” 0:00 Intro 1:24 The Physical Presence of Post-Biological Civilizations 3:38 Societal & Cultural Aspects of Post-Biological Life 5:08 The Scifi Path to Post-Biological Life 8:03 The Singularity and the Ultimate Transition 9:47 Many Paths to Post-Biological Life 17:50 The Fermi Paradox & Post-Biological Civilizations 27:39 Ethics & the Fate of Humanity 29:17 The Transition Process at a Civilizational Scale.
Get Nebula using my link for 40% off an annual subscription: https://go.nebula.tv/isaacarthur.
Get a Lifetime Membership to Nebula for only $300: https://go.nebula.tv/lifetime?ref=isa…
Use the link gift.nebula.tv/isaacarthur to give a year of Nebula to a friend for just $30.

SFIA Discord Server: / discord.
Credits:
Post-Biological Civilizations: Life Beyond Flesh and Bone.
Episode 498a; May 11, 2025
Written, Produced & Narrated by: Isaac Arthur.
Edited by: Ludwig Luska.
Select imagery/video supplied by Getty Images.
Music Courtesy of Epidemic Sound http://epidemicsound.com/creator.
Chris Zabriskie, \

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Today, we’re launching Anthropic’s AI for Science program – a new initiative designed to accelerate scientific research and discovery through access to our API. This program will provide free API credits to support researchers working on high-impact scientific projects, with a particular focus on biology and life sciences applications.

Why AI for Science? At Anthropic, we believe that AI has the potential to significantly accelerate scientific progress. Advanced AI reasoning and language capabilities can help researchers analyze complex scientific data, generate hypotheses, design experiments, and communicate findings more effectively. By reducing the time and resources needed for scientific discovery, we can help address some of humanity’s most pressing challenges.

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems.

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The deconstruction of cellulose is essential for the conversion of biomass into fuels and chemicals. But cellulose, the most abundant renewable polymer on the planet, is extremely recalcitrant to biological depolymerization. Although composed entirely of glucose units, its crystalline microfibrillar structure and association with lignin and hemicelluloses in plant cell walls make it highly resistant to degradation.

As a result, its degradation in nature is slow and requires complex enzymatic systems. The deconstruction of cellulose, which could, among other things, significantly increase the production of ethanol from sugarcane, has been a major technological challenge for decades.

Researchers from the Brazilian Center for Research in Energy and Materials (CNPEM), in partnership with colleagues from other institutions in Brazil and abroad, have just obtained an enzyme that could revolutionize the process of deconstructing cellulose, allowing, among other technological applications, the large-scale production of so-called second-generation ethanol, derived from agro-industrial waste such as sugarcane bagasse and corn straw. The study was published in the journal Nature.

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Researchers demonstrate an active-fluid system whose behaviors map directly to predictions of the six-vertex model—an exactly solvable model that was originally developed to explain the behavior of ice.

Active fluids—collections of self-propelled agents such as bacteria, cells, or colloids—consume energy to move, flowing without being pushed [1]. These materials break the conventional rules of fluid dynamics, as they can flow spontaneously, switch direction without apparent cause, and organize into complex patterns with no external control. Active fluids were initially studied to understand the collective dynamics observed in biological systems. Now they offer a rich playground for exploring nonequilibrium physics. Yet, in the ever-expanding universe of active-fluid physics, it is rare to find an experimental system that maps precisely onto a mathematically exact model.

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A team of Harvard researchers have unveiled a way to map the molecular underpinnings of how learning and memories are formed, a new technique expected to offer insights that may pave the way for new treatments for neurological disorders such as dementia.

“This technique provides a lens into the synaptic architecture of memory, something previously unattainable in such detail,” said Adam Cohen, professor of chemistry and and of physics and senior co-author of the research paper, published in Nature Neuroscience.

Memory resides within a dense network of billions of neurons within the brain. We rely on synaptic plasticity—the strengthening and modulation of connections between these neurons—to facilitate learning and memory.

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Digital transformation is blurring the lines between the physical, digital and biological spheres. From cloud computing, to Artificial Intelligence (AI) and Big Data, technologies of the Fourth Industrial Revolution (4IR) are shaping every aspect of our lives.

In the oil and gas industry, digital transformation is revolutionizing how we supply energy to the world. By deploying a range of 4IR technologies across our business, we aim to meet the world’s energy needs while enhancing productivity, reducing CO2 emissions, and creating next-generation products and materials.

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MIT CSAIL researchers developed “linear oscillatory state-space models” to leverage harmonic oscillators. Capturing the stability and efficiency of biological neural systems and translating these principles into a machine learning framework, the LinOSS approach can help predict complex systems.

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A new study uncovers how fine-tuning the interactions between two distinct network-forming species within a soft gel enables programmable control over its structure and mechanical properties. The findings reveal a powerful framework for engineering next-generation soft materials with customizable behaviors, inspired by the complexity of biological tissues.

The study, titled “Inter-Species Interactions in Dual, Fibrous Gels Enable Control of Gel Structure and Rheology,” is published in Proceedings of the National Academy of Sciences.

The study uses simulations to investigate how varying the strength and geometry of interactions between two colloidal species impacts network formation and rheological performance. By controlling separately interspecies stickiness and tendency to bundle, researchers discovered that tuning these inter-species interactions allows over whether the networks that they form remain separate, overlap, or intertwine.

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