Polytec Personnel’s Post

Important paper out yesterday, showing that weak magnetic fields in biology are measurable; quantum biology (QB) is real. https://lnkd.in/gxbUSMhB Lots of white papers discussing the implications of QB for defense, AI, space travel and more: https://lnkd.in/gwi9uJ59 AFOSR first began to explore quantum biology at a workshop I attended and sent funded PI's to in 2010. All of the tech talks are still indexed on my old blog: https://lnkd.in/gR6P7GD9 The tl;dr of quantum biology is that light, water and magnetism effects are inseparably linked in biological systems. The most striking example of this from the recent QuBIT paper is the effect of hypo-magnetic field environment on developing tadpole carotenoid levels (decreased). Similar effects have also been noted previously in tadpoles on eumelanin. Chromophores matter--pay attention to portions of the EM spectrum where they absorb and emit. Jack Kruse, you are definitely over the target. BigHarma is taking notice.

New Study Uses Simulations to Reveal Bioluminescent Light Intensity in Breaking Waves - UC San Diego: Anew study led by Scripps Institution of Oceanography demonstrates, for the first time, how scientists can use computer simulations to quantify the light emitted by dinoflagellates when they flash in breaking waves, creating stunning displays of bioluminescence. This numerical approach provides key insights into understanding bioluminescence in the ocean and offers a promising tool and model for monitoring dinoflagellates—the organisms known to cause red tides, or harmful algal blooms, which can negatively impact marine life and human health. This research paves the way for estimating their populations through ocean observations. https://lnkd.in/eyuyhU4w

This is a good example of AI helping scientists to better understand the possible impacts of climate change and to develop better tools for forecasting. It is one of countless examples of how scientists are using AI to help advance our understanding of the universe and one of dozens of examples of how AI is being deployed in our battle to reduce climate change. I detail some of these efforts in my forthcoming book, Mastering AI: A Survival Guide to Our Superpowered Future. You can pre-order a copy here: https://lnkd.in/eNpP46j3. But to Michaela's big question on whether AI can help save the planet, I came away from my research for the book pessimistic. AI can help us deal with climate change in a lot of little ways. But many of the things that would make a big difference--we already know what these are. They include policies that would force us to internalize the cost of our carbon footprint. None of these policies has anything to do with AI. What we lack in these cases is not knowledge or more accurate prediction, but something else: political will. AI is not going to magically provide that for us.

2024 ASCEND "This session brought together a group of experts in science and technology who had supported the National Academies Decadal Surveys process across Earth, Astrophysics, and Planetary science. "They debated whether our scientific ambitions had been limited by the perceived community consensus that developing low-risk and high-heritage missions could produce the most exciting scientific discoveries. New technology capabilities, not necessarily broadly known or considered too high-risk, had the opportunity to change scientific thinking, leading to the ability of the community to ask more ambitious and transformative science questions that could dramatically alter our view of the solar system and universe beyond. The experts debated whether a change in the Decadal Survey recommendation process should be considered to achieve such goals." AIAA 2024 ASCEND Day 1: MICRO 07 Should Technology Advances Drive Decadal Survey Science or Vice Versa

Check out the latest blog post from Cavro talking about recent advancements in automating spatial biology workflows!

Microscopic defects in ice influence how massive glaciers flow, study shows - Massachusetts Institute of Technology: The findings should help scientists refine predictions of future sea-level rise. https://lnkd.in/eqY5ni4H

Did you know bacteria grow faster in zero gravity? The Technion is sending research to the final frontier to explore the possible implications. 🛰️ 🦠 Autonomous mini-labs from Technion alumni are gearing up to study the fascinating ability of enzymes to dismantle disease-causing bacterial residues – in space. Exciting news from the frontier of space research by Technion - Israel Institute of Technology people. Download our Technion Booklet of Wonders https://lnkd.in/eJweNDfF.

Discover the future of deep-sea research! Experts unveil revolutionary technologies, capturing detailed measurements and genomes of fragile deep-sea creatures within minutes.

Laws of Spatially Structured Population Dynamics on a Lattice | Perspective by Natalia L. Komarova, Ignacio A. Rodriguez-Brenes and Dominik Wodarz https://lnkd.in/gr45K-Rj UC Irvine; MDPI #EvolutionaryDynamics #mutations #modeling #computational #mathematical #physics This article belongs to the Special Issue: Dedication to Professor Michael Tribelsky: 50 Years in Physics https://lnkd.in/g-zw5gHn #Abstract We consider spatial population dynamics on a lattice, following a type of a contact (birth–death) stochastic process. We show that simple mathematical approximations for the density of cells can be obtained in a variety of scenarios. In the case of a homogeneous cell population, we derive the cellular density for a two-dimensional (2D) spatial lattice with an arbitrary number of neighbors, including the von Neumann, Moore, and hexagonal lattice. We then turn our attention to evolutionary dynamics, where mutant cells of different properties can be generated. For disadvantageous mutants, we derive an approximation for the equilibrium density representing the selection–mutation balance. For neutral and advantageous mutants, we show that simple scaling (power) laws for the numbers of mutants in expanding populations hold in 2D and 3D, under both flat (planar) and range population expansion. These models have relevance for studies in ecology and evolutionary biology, as well as biomedical applications including the dynamics of drug-resistant mutants in cancer and bacterial biofilms.