Combining two different kinds of signals could help engineers build prosthetic limbs that better reproduce natural movements, according to a new study from the University of California, Davis. The work, published April 10 in PLOS One, shows that a combination of electromyography and force myography is more accurate at predicting hand movements than either method by itself.
In a study published in Science Advances, a research team led by Prof. Liu Chengbo from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences developed a 1.7-gram head-mounted microscope. This innovative device can simultaneously capture neural activity and cerebral hemodynamics in freely moving mice, providing a novel tool for exploring neurovascular coupling (NVC) in the brain and studying neurological disorders.
NVC represents the close temporal and regional relationship between neural activity and cerebral blood flow and oxygenation. When neural activity is initiated in a specific brain region, the metabolic demand within that region increases, leading to enhanced blood flow to supply greater amounts of oxygen and glucose, thus meeting the elevated metabolic needs of neurons. Conversely, if pathological changes hinder cerebral vessels’ capacity to provide sufficient oxygen and energy, the functional activity of the corresponding brain region will be significantly affected.
Conventional NVC imaging techniques face challenges in achieving simultaneous in vivo high spatiotemporal resolution of neuronal activity and cerebral blood flow. This makes it difficult to accurately capture the dynamic relationship between neural activity and local hemodynamic changes. In addition, most existing studies use head-fixed setups which do not reflect true neurovascular coupling during natural animal behaviors.
A research team has developed an innovative biomimetic dual-mode magnetic resonance imaging (MRI) nanoprobe for detecting early-stage liver fibrosis in non-alcoholic fatty liver disease (NAFLD).
The work, using the Steady High Magnetic Field Facility (SHMFF), was recently published in Advanced Science. The team was led by Prof. Wang Junfeng at the High Magnetic Field Laboratory, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences.
NAFLD is a growing global health concern with even higher rates among individuals with obesity or type 2 diabetes. Detecting liver fibrosis early, before it becomes irreversible, is crucial for timely intervention and treatment. While MRI is a promising non-invasive tool for identifying liver fibrosis, traditional imaging techniques often lack the sensitivity to catch early-stage changes. Conventional contrast agents either face safety concerns or fail to target fibrotic tissues specifically.
The root-associated bacterium Exiguobacterium R2567 regulates tiller number by producing cyclo(Leu-Pro), which activates the rice strigolactone signaling pathway.
Mass General Brigham researchers found that interactions between immune and brain cells drive fear responses, but treatment with psychedelics like MDMA and psilocybin may reverse these effects.
The new study suggests that fear and the immune system are connected in previously unknown ways. The researchers found that the immune system can influence stress and fear behaviors by changing how brain cells communicate.
The investigators further showed that psychedelic treatments could target these neuroimmune interactions and reduce stress-induced fear in preclinical models and found similar results in human tissue samples. Results are published in Nature.
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A new AI robot called π-0.5 uses 100 decentralized brains, known as π-nodes, to control its body with lightning-fast reflexes and smart, local decision-making. Instead of relying on a central processor or internet connection, each part of the robot—like fingers, joints, and muscles—can sense, think, and act independently in real time. Powered by a powerful vision-language-action model and trained on massive, diverse data, this smart muscle system allows the robot to understand and complete real-world tasks in homes, even ones it has never seen before.
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 groundbreaking AI robot called π‑0.5 powered by 100 decentralized “π-nodes” embedded across its body • Each node acts as a mini-brain, sensing, deciding, and adjusting without needing Wi-Fi or a central processor • A powerful vision-language-action model lets the robot understand messy homes and complete complex tasks without pre-mapping 🎥 What You’ll See: • How π‑0.5 combines local reflexes with high-level planning to react in real time • The unique training process using over 400 hours of diverse, real-world data from homes, mobile robots, and human coaching • Real-world tests where the robot cleans, organizes, and adapts to brand-new spaces with near-human fluency 📊 Why It Matters: This new system redefines robot intelligence by merging biological-inspired reflexes with advanced AI planning. It’s a major step toward robots that can handle unpredictable environments, learn on the fly, and function naturally in everyday life—without relying on cloud servers or rigid programming. DISCLAIMER: This video explores cutting-edge robotics, decentralized AI design, and real-world generalization, revealing how distributed intelligence could transform how machines move, sense, and think. #robot #robotics #ai.
Get the best AI news without the noise 👉 https://airevolutionx.beehiiv.com/
🔍 What’s Inside:
• A groundbreaking AI robot called π‑0.5 powered by 100 decentralized “π-nodes” embedded across its body.
• Each node acts as a mini-brain, sensing, deciding, and adjusting without needing Wi-Fi or a central processor.
• A powerful vision-language-action model lets the robot understand messy homes and complete complex tasks without pre-mapping.
🎥 What You’ll See:
• How π‑0.5 combines local reflexes with high-level planning to react in real time.
• The unique training process using over 400 hours of diverse, real-world data from homes, mobile robots, and human coaching.
• Real-world tests where the robot cleans, organizes, and adapts to brand-new spaces with near-human fluency.
📊 Why It Matters:
A flourishing research hub in New York State aims to turn quantum science into real-world solutions for communication and computation.
Contemporary Amperex Technology Co., Limited (CATL), the largest battery manufacturer in the world with a 38% share of the global market, has just announced some fairly significant breakthroughs in battery tech that aren’t just theoretical; they’re already hitting the market.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
