Artificial neural networks, central to deep learning, are powerful but energy-consuming and prone to overfitting. The authors propose a network design inspired by biological dendrites, which offers better robustness and efficiency, using fewer trainable parameters, thus enhancing precision and resilience in artificial neural networks.
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The chemical composition of a material alone sometimes reveals little about its properties. The decisive factor is often the arrangement of the molecules in the atomic lattice structure or on the surface of the material. Materials science utilizes this factor to create certain properties by applying individual atoms and molecules to surfaces with the aid of high-performance microscopes. This is still extremely time-consuming and the constructed nanostructures are comparatively simple.
Using artificial intelligence, a research group at TU Graz now wants to take the construction of nanostructures to a new level. Their paper is published in the journal Computer Physics Communications.
“We want to develop a self-learning AI system that positions individual molecules quickly, specifically and in the right orientation, and all this completely autonomously,” says Oliver Hofmann from the Institute of Solid State Physics, who heads the research group. This should make it possible to build highly complex molecular structures, including logic circuits in the nanometer range.
Scientists have built an artificial motor capable of mimicking the natural mechanisms that power life.
The finding, from The University of Manchester and the University of Strasbourg, published in the journal Nature, provides new insights into the fundamental processes that drive life at the molecular level and could open doors for applications in medicine, energy storage, and nanotechnology.
Professor David Leigh, lead researcher from The University of Manchester, said: Biology uses chemically powered molecular machines for every biological process, such as transporting chemicals around the cell, information processing or reproduction.
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MIT engineers developed a way to make clean ammonia, without fossil-fuel-powered chemical plants, using the Earth as a geochemical reactor, producing ammonia underground.
New research shows somatic mutations drive epigenetic changes tied to aging. This discovery reshapes our understanding of aging and challenges current anti-aging strategies.
Summary: A new study has uncovered a direct link between somatic mutations and epigenetic modifications, challenging established views on aging. Researchers found that random genetic mutations drive predictable changes in DNA methylation, offering new insights into the relationship between mutation accumulation and epigenetic clocks.
This suggests that epigenetic changes may track, rather than cause, aging, making it harder to reverse aging than previously thought. These findings redefine our understanding of aging at the molecular level and hold significant implications for future anti-aging therapies.
In a groundbreaking study published in Nature, researchers from the University of British Columbia, the University of Washington, and Johns Hopkins University have identified a new class of quantum states in a specially engineered graphene structure. They found topological electronic crystals in twisted bilayer–tilayer graphene, made by stacking and twisting two-dimensional graphene layers.
Graphene, composed of carbon atoms arranged in a honeycomb structure, has unique electrical properties due to the way electrons hop between the carbon atoms.
Prof. Joshua Folk from UBC explains that stacking two graphene flakes with a slight twist creates a geometric interference effect known as a moiré pattern, changing how electrons move, slowing them down, and twisting their motion.
Though the notion of the supernatural has captivated humanity across continents and centuries, the most compelling path to explaining such mysteries may reside in the fundamental operations of nature itself. The premise that there is no realm beyond the natural order underpins the hypothesis that any genuine paranormal or spiritual phenomenon, if it exists, must be quantum in character. On the surface, this sounds audacious: quantum theory is already widely deemed one of the most counterintuitive scientific frameworks, replete with superpositions, entanglement, and the undeniable role of altering reality via measurement. Yet these very features seem to provide the most plausible scaffolding upon which experiences such as extrasensory perception (ESP), clairvoyance, telepathy, contact with disembodied spirits, psychokinesis, reincarnation, or even a continuation of existence in an afterlife, could be built.
Those who have conducted painstaking investigations into alleged parapsychological happenings often begin with the simplest question: Can these events be rigorously documented? The Princeton Engineering Anomalies Research (PEAR) program endeavored to place mind–machine interactions under stringent laboratory conditions for more than two decades, testing whether human intention could alter random-event generators. Their experimental data reported “small but consistent deviations from expected outputs” (Jahn & Dunne, 1987, p. 45). Mainstream critics rightly pointed to the difficulty of reconciling such deviations with known physics. However, these critics also noted that if the data were taken at face value, the underlying mechanism could only be teased out by exploring deeper layers of reality that engage both mind and matter — precisely the realm where quantum theory holds sway.
As we delve further into the annals of psychical research, Dean Radin’s contributions provide an illuminating guide. In The Conscious Universe: The Scientific Truth of Psychic Phenomena, Radin (1997) summarizes meta-analyses across thousands of trials testing telepathy, clairvoyance, and precognition. He concludes that “if psi is real, then we will see small but systematic deviations from chance expectations across many studies” (p. 136). Over and over, this is what he reports. Conventional interpretations falter, but an appeal to quantum processes — whose probabilistic nature might be subtly influenced by consciousness — begins to feel less like arcane speculation and more like a coherent, if daring, hypothesis.
