In a world-first, scientists have figured out how to reprogram cells to fight — and potentially reverse — brain diseases like Alzheimer’s.
Researchers at the University of California, Irvine created lab-grown immune cells that can track down toxic brain buildup and clear it away, restoring memory and brain function in mice.
They did this by turning stem cells — which can become any cell in the body — into brain immune cells called microglia.
Scientists have developed oral nanorobots that target damaged heart tissue, deliver energy, and repair mitochondrial function, offering a novel approach to treating ischemic heart disease.
A new brain-inspired AI model called TopoLM learns language by organizing neurons into clusters, just like the human brain. Developed by researchers at EPFL, this topographic language model shows clear patterns for verbs, nouns, and syntax using a simple spatial rule that mimics real cortical maps. TopoLM not only matches real brain scans but also opens new possibilities in AI interpretability, neuromorphic hardware, and language processing.
Join our free AI content course here 👉 https://www.skool.com/ai-content-acce… the best AI news without the noise 👉 https://airevolutionx.beehiiv.com/ 🔍 What’s Inside: • A brain-inspired AI model called TopoLM that learns language by building its own cortical map • Neurons are arranged on a 2D grid where nearby units behave alike, mimicking how the human brain clusters meaning • A simple spatial smoothness rule lets TopoLM self-organize concepts like verbs and nouns into distinct brain-like regions 🎥 What You’ll See: • How TopoLM mirrors patterns seen in fMRI brain scans during language tasks • A comparison with regular transformers, showing how TopoLM brings structure and interpretability to AI • Real test results proving that TopoLM reacts to syntax, meaning, and sentence structure just like a biological brain 📊 Why It Matters: This new system bridges neuroscience and machine learning, offering a powerful step toward *AI that thinks like us. It unlocks better interpretability, opens paths for **neuromorphic hardware*, and reveals how one simple principle might explain how the brain learns across all domains. DISCLAIMER: This video covers topographic neural modeling, biologically-aligned AI systems, and the future of brain-inspired computing—highlighting how spatial structure could reshape how machines learn language and meaning. #AI #neuroscience #brainAI
Get the best AI news without the noise 👉 https://airevolutionx.beehiiv.com/
🔍 What’s Inside:
• A brain-inspired AI model called TopoLM that learns language by building its own cortical map.
• Neurons are arranged on a 2D grid where nearby units behave alike, mimicking how the human brain clusters meaning.
• A simple spatial smoothness rule lets TopoLM self-organize concepts like verbs and nouns into distinct brain-like regions.
🎥 What You’ll See:
• How TopoLM mirrors patterns seen in fMRI brain scans during language tasks.
• A comparison with regular transformers, showing how TopoLM brings structure and interpretability to AI
• Real test results proving that TopoLM reacts to syntax, meaning, and sentence structure just like a biological brain.
📊 Why It Matters:
Scientists have unveiled a cutting-edge quantum microscope that allows them to observe how electrons interact with strange atomic vibrations in twisted graphene, including a newly revealed “phason.” This phenomenon could help explain mysterious behaviors like superconductivity in materials rotate
Lithium-ion batteries have been a staple in device manufacturing for years, but the liquid electrolytes they rely on to function are quite unstable, leading to fire hazards and safety concerns. Now, researchers at Penn State are pursuing a reliable alternative energy storage solution for use in laptops, phones and electric vehicles: solid-state electrolytes (SSEs).
According to Hongtao Sun, assistant professor of industrial and manufacturing engineering, solid-state batteries—which use SSEs instead of liquid electrolytes—are a leading alternative to traditional lithium-ion batteries. He explained that although there are key differences, the batteries operate similarly at a fundamental level.
“Rechargeable batteries contain two internal electrodes: an anode on one side and a cathode on the other,” Sun said. “Electrolytes serve as a bridge between these two electrodes, providing fast transport for conductivity. Lithium-ion batteries use liquid electrolytes, while solid-state batteries use SSEs.”
A groundbreaking gene therapy has restored sight in four young children born with severe blindness due to a rare genetic deficiency. Scientists at UCL and Moorfields Eye Hospital successfully injected healthy copies of the defective gene into the retina, leading to life-changing improvements. Gr
ICTP — SAIFR
School on Quantum Chaos.
August 21 – September 1, 2023
Speaker:
Barbara Dietz (Institute for Basic Science (IBS), Republic of Korea): Non-Relativistic and Relativistic Quantum Chaos.
More Informations:
Paper link : https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.134.
Chapters:
00:00 Introduction.
00:49 Breaking the Classical Wall – What the Game Revealed.
02:32 Entanglement at Scale – Knots, Topology, and Robust Design.
03:51 Implications – A New Era of Quantum Machines.
07:37 Outro.
07:47 Enjoy.
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MUSIC LINK : https://pixabay.com/music/pulses-starlight-harmonies-185900/
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A UNSW study published today in Nature Communications presents an exciting step towards domain-wall nanoelectronics: a novel form of future electronics based on nano-scale conduction paths, and which could allow for extremely dense memory storage.
FLEET researchers at the UNSW School of Materials Science and Engineering have made an important step in solving the technology’s primary long-standing challenge of information stability.
Domain walls are “atomically sharp” topological defects separating regions of uniform polarisation in ferroelectric materials.
A discovery by an international team of scientists has revealed room-temperature ferroelectric and resistive switching behaviors in single-element tellurium (Te) nanowires, paving the way for advancements in ultrahigh-density data storage and neuromorphic computing.
Published in Nature Communications, this research marks the first experimental evidence of ferroelectricity in Te nanowires, a single-element material, which was previously predicted only in theoretical models.
“Ferroelectric materials are substances that can store electrical charge and keep it even when the power is turned off, and their charge can be switched by applying an external electric field—a characteristic essential for non-volatile memory applications,” points out co-corresponding author of the paper Professor Yong P. Chen, a principal investigator at Tohoku University’s Advanced Institute for Materials Research (AIMR) and a professor at Purdue and Aarhus Universities.
