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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:

Continue reading “New AI Robot with 100 AI Brains Is Actually Thinking (Smart Muscle System)” | >

The study is “really pretty remarkable,” said Christopher Whyte at the University of Sydney, who was not involved in the work, to Nature. One of the first to simultaneously record activity in both deep and surface brain regions in humans, it reveals how signals travel across the brain to support consciousness.

Consciousness has teased the minds of philosophers and scientists for centuries. Thanks to modern brain mapping technologies, researchers are beginning to hunt down its neural underpinnings.

At least half a dozen theories now exist, two of which are going head-to-head in a global research effort using standardized tests to probe how awareness emerges in the human brain. The results, alongside other work, could potentially build a unified theory of consciousness.

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Using the Australian Square Kilometer Array Pathfinder (ASKAP), astronomers have discovered 15 new giant radio galaxies with physical sizes exceeding 3 million light years. The finding was reported in a research paper published April 9 on the arXiv preprint server.

The so-called giant radio galaxies (GRGs) have an overall projected linear length exceeding at least 2.3 million light years. They are rare objects grown usually in low-density environments and display jets and lobes of synchrotron-emitting plasma. GRGs are important for studying the formation and the evolution of radio sources.

ASKAP is a 36-dish radio-interferometer operating at 700 to 1,800 MHz. It uses to achieve extremely high survey speed, making it one of the best instruments in the world for mapping the sky at radio wavelengths. Due to its large field of view, high resolution, and good sensitivity to low-surface brightness structures, ASKAP has been essential in the search for new GRGs.

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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:

Continue reading “This New AI Could Be the First Real ARTIFICIAL BRAIN!” | >

Innovation in maritime propulsion has reached a significant milestone with the development of a revolutionary technology inspired by one of the ocean’s most elegant creatures. Swiss engineering giant ABB has successfully tested its biomimetic propulsion system that replicates the graceful swimming motion of whales, potentially transforming how vessels navigate our seas.

Biomimetic innovation transforms maritime propulsion

The marine industry stands at the threshold of a major breakthrough with ABB’s latest innovation. The ABB Dynafin propulsion system draws inspiration from the efficient swimming techniques of cetaceans, creating a mechanism that could significantly reduce energy consumption across various vessel types. This technology comes at a crucial time as detailed ocean mapping reveals new underwater features that challenge traditional navigation methods.

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NASA and partners are building the first quantum gravity sensor for space, a breakthrough instrument that uses ultra-cold atoms to detect tiny shifts in Earth’s gravity from orbit. With potential applications ranging from mapping hidden aquifers to exploring distant planets, this compact, highly

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GOES-19 has taken over as NOAA’s primary geostationary eye in the Western Hemisphere, joining GOES‑18 to deliver unprecedented detail on global weather. It tracks hurricanes, atmospheric rivers, wildfires and more with high‑resolution imagery and lightning mapping. Its CCOR‑1 coronagraph keeps wa

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