The von Neumann bottleneck may have a molecular solution: a single ruthenium-based device that shifts between memory, logic gate, and artificial synapse depending on stimulation. https://www.sciencedaily.com/releases/2026/01/260101160857.htm

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The von Neumann bottleneck may have a molecular solution: a single ruthenium-based device that shifts between memory, logic gate, and artificial synapse depending on stimulation. https://www.sciencedaily.com/releases/2026/01/260101160857.htm
Zoomposium with Thomas Metzinger, Part 2: 🤖 Self-Models, Neuromorphic AI & the Future of Our Culture of Consciousness 🧠
What is the “I”—and could a machine one day develop its own? In the second part of the conversation with Thomas Metzinger, the self-model theory of subjectivity takes center stage: What we experience as the “I” is not a fixed entity, but a dynamic, transparent model that our brain continuously generates. The crucial question is therefore: 👉 If our self is a model—could artificial intelligence also develop such a model? Current developments such as neuromorphic systems, deep learning, or biologically inspired neural networks raise precisely this question anew. Metzinger remains cautious, but considers artificial consciousness possible in principle—with far-reaching consequences for science, ethics, and society. Yet the conversation goes beyond technology and becomes more fundamental: How does this knowledge change our self-understanding? What does it mean when scientific findings increasingly demystify our image of the “self”? Metzinger therefore advocates for the development of a new culture of consciousness—a reflective attitude toward one’s own experience, mental suffering, and the technological possibilities of the future. Between demystification and responsibility, a new horizon emerges: 👉 Consciousness is not merely a subject of research—it is a central challenge of our time. 📎More information: https://philosophies.de/index.php/2026/03/15/selbstmodelle-metzinger/ 🎥 Watch Part 2: https://youtu.be/Ibf2mrZ3uzM
The Brain Metaphor Trap
The Brain Metaphor Trap: Why Silicon Should Not Mimic Neurons
Neuromorphic Computing: The Future of Brain-Inspired Technology
Neuromorphic Computing: The Future of Brain-Inspired Technology Introduction Neuromorphic computing mimics the human brain’s architecture to create ultra-efficient AI systems. Unlike traditional computers, these chips process information in parallel using artificial neurons, enabling real-time learning with minimal power. “The brain is not a computer, but neuromorphic computing brings us closer…
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𝐁𝐫𝐚𝐢𝐧-𝐋𝐢𝐤𝐞 𝐀𝐈 𝐂𝐡𝐢𝐩 𝐓𝐡𝐚𝐭 𝐑𝐮𝐧𝐬 𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐚 𝐂𝐥𝐨𝐮𝐝
This new brain-inspired AI chip processes data with minimal energy—no internet required. We explore what this means for the future of edge computing and ethical AI systems.
Watch more https://youtube.com/shorts/nonpT-utMxY
Would you trust an AI that runs on your device, with no cloud needed? Comment below.
🚨 GAME-CHANGER: The AI Revolution is Here! 🚨
💡 What if AI could think like the human brain? Neuromorphic AI is breaking all limits—faster, smarter, and more powerful than ever! This is the future of computing, and you don’t want to miss it!
🔥 Watch NOW before the world catches on! ⏳
BrainChip Boosts Space Heritage With Launch Of Akida Into Low Earth Orbit
BrainChip Holdings Ltd has reached a significant milestone by launching its Akida™ AI technology into low earth orbit aboard the Optimus-1 spacecraft by the Space Machines Company. This achievement is a crucial step forward for BrainChip in the SpaceTech industry, where advanced AI solutions are vital for learning and decision-making in challenging space conditions.
The Akida AI technology is integrated into the ANT61 Brain™ computer, which acts as the primary intelligent control for repair and maintenance robots tasked with remotely repairing damaged space vehicles. This demands high-performance AI computation under severe energy, power, and thermal constraints, making Akida's event-based, neuromorphic architecture perfect for delivering top-notch performance with minimal power consumption. Moreover, Akida's on-chip learning capability enables the ANT61 Brain to learn and adapt, a key feature in space environments where variables are constantly changing.
Mikhail Asavkin, CEO, and founder of ANT61, expressed enthusiasm about the partnership, stating, "We have collaborated with BrainChip to develop autonomous infrastructure maintenance robots that utilize an AI-driven ‘Brain’ to carry out complex repair tasks in the harsh vacuum of space." Mark Ramsey, COO of the Space Machines Company, emphasized the significance of innovative technologies like Akida and ANT61's Brain in the demanding space environment.
Read More - https://www.techdogs.com/tech-news/business-wire/brainchip-boosts-space-heritage-with-launch-of-akida-into-low-earth-orbit