Researchers from Karolinska Institutet, together with Pixelgen Technologies, have developed and applied a technique that makes it possible to map proteins in individual cells in a completely new way. Not only is it now possible to measure the amount of proteins, but also how they are distributed in the cell’s membrane and how they interact with each other.
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Let’s explore why faster than light signals reverse time and break causality. Why they can make effects occur before cause, causing time paradoxes.
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Researchers say this novel device, barely larger than a human hair, functions as an artificial synapse, mimicking the brain’s unique ability to process and share information.
“The brain’s computing principles (neurons connected by synapses) and information carriers (ions in water) both differ fundamentally from those of conventional computers,” researchers wrote. “Building on this distinction, we present an aqueous memristor that emulates the brain’s short-term synaptic plasticity features through ion transport in water, mirroring the natural processes in the brain.”
In their findings, recently published in the Proceedings of the National Academy of Sciences, researchers highlighted that the iontronic memristor marks a significant departure from earlier models designed to mimic the brain’s communication pathways. Moreover, the device uniquely emulates the dynamic processes of human synapses in real time, using only salt and water to closely replicate how neurons transmit information naturally.
ChemCrow, an AI developed by researchers at EPFL, integrates multiple expert tools to perform chemical research tasks with unprecedented efficiency.
Chemistry, with its intricate processes and vast potential for innovation, has always been a challenge for automation. Traditional computational tools, despite their advanced capabilities, often remain underutilized due to their complexity and the specialized knowledge required to operate them.
AI Revolution in Chemistry.
A team led by Prof Frank Glorius from the Institute of Organic Chemistry at the University of Münster has developed an evolutionary algorithm that identifies the structures in a molecule that are particularly relevant for a respective question and uses them to encode the properties of the molecules for various machine-learning models.
AD — Go to https://ground.news/drbecky to stay fully informed with the latest Space and Science news. Subscribe through my link to get 40% off the Vantage plan for unlimited access this month only. | I often get asked how do we know dark matter exists? Which is why I’ve made a video on all the observational evidence we have before (linked below)! But occasionally I’ll get asked how do we know how much dark matter there is, which is a really fun question. There’s many different ways we can calculate this, including the ratio between normal (baryonic) and dark matter, but in this video I just wanted to highlight three different ways astrophysicists calculate this.
Here’s my previous video on all the evidence we have for dark matter — • All the evidence we have for dark mat…
My previous video on whether dark matter could be made of black holes — • Is dark matter made of black holes?
My previous video on whether black holes contain dark matter — • Do black holes contain dark matter?
My previous video on why galaxies merge if the universe is expanding — • If the Universe is expanding, then wh…
Continue reading “How do we know how much dark matter there is in the Universe?” »
The Quantum Insider (TQI) is the leading online resource dedicated exclusively to Quantum Computing.
The Quantum Insider (TQI) is the leading online resource dedicated exclusively to Quantum Computing.
