Eliza evolves into a lifelike AI robot, offering emotional intelligence, human-like companionship, and interactive engagement for $420,000.
Nemourlon armor of reasonable weight resists penetration by most fragments and any bullet that is not both reasonably heavy and fairly high-velocity.’ — Jerry Pournelle, 1976.
Goldene — A Two-Dimensional Sheet Of Gold One Atom Thick ‘Hasan always pitched a Gauzy — a one-molecule-layer tent, opaque, feather-light, and very tough.’ — Roger Zelazny, 1966.
GNoME AI From DeepMind Invents Millions Of New Materials ‘…the legendary creativity of our finest human authors pales against the mathematical indefatigability of GNoME.’
Beneath the sandstone floor of a French rock shelter lies a stunning artifact—what could be the world’s oldest 3D map. Its intricate carvings model water flows, valleys, and lakes in ways that defy expectations of Paleolithic capabilities. But how did early humans achieve such precision? And what mysteries do the map’s symbols still hold?
In the fascinating intersection of quantum computing and the human experience of time, lies a groundbreaking theory that challenges our conventional narratives: the D-Theory of Time. This theory proposes a revolutionary perspective on time not as fundamental but as an emergent phenomenon arising from the quantum mechanical fabric of the universe.
#TemporalMechanics #DTheory #QuantumComputing #QuantumAI
“In a sense, Nature has been continually computing the ‘next state’ of the Universe for billions of years; all we have to do — and actually all we can do — is ‘hitch a ride’ on this huge ongoing [quantum] computation.” — Tommaso Toffoli
In my new book Temporal Mechanics: D-Theory as a Critical Upgrade to Our Understanding of the Nature of Time (2025), I defend the D-Theory of Time, predicated or reversible quantum computing at large, which represents a novel framework that challenges our conventional understanding of time and computing. Here, we explore the foundational principles of D-Theory, its implications for reversible quantum computing, and how it could potentially revolutionize our approach to computing, information processing, and our understanding of the universe.
+ Decoding the secrets of DNA, CRISPR gene editing allows scientists to target specific genes linked to aging. By modifying these genes, researchers aim to prevent conditions that come with aging. Envision a future where genetic risks for age-related diseases are minimized through precise DNA editing.
It is possible to regenerate cells using stem cells, which can turn into a variety of types. In recent trials, stem cells showed promise in regenerating aged tissues like cartilage. Scientists hope to develop therapies that might slow down physical decline and maintain vitality longer by using this potential.
Nanobots could someday be the future of healthcare by targeting damaged cells directly as they move through your bloodstream. Researchers are currently exploring how nanobots might repair cellular damage and improve overall health, potentially reversing some age-related effects at the cellular level.
As the protective ends of chromosomes, telomeres shorten over time. When they become too short, cells stop functioning. In laboratory studies, researchers have extended the lifespan of animals by using telomere extension techniques. Though still experimental, this research could pave the way for human applications in slowing aging.
Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings Communications
Posted in robotics/AI | Leave a Comment on Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings Communications
Intracellular recording involves puncturing the cell membrane to gain access to the cell. In this work, the authors introduce a puncture-free intracellular recording approach that leverages a deep learning model to translate extracellular recordings into intracellular signals.
Our reality is a 3 + 1 pseudo-Riemannian spacetime manifold whose intrinsic curvature manifests itself as gravity, right? Well no, because descriptions are not reality, and math is not physics. Indeed, when taken at its most literal, face-value, what the \.
This episode focuses on the basic concepts and misconceptions of wars fought in space and examines the notions of weapons, defenses, stealth in space, and the distance involved.
Our brains evolved to help us rapidly learn new things. But anyone who has put in hours of practice to perfect their tennis serve, only to reach a plateau, can attest that our brains aren’t infinitely flexible. New work shows that patterns of neural activity over time — the temporal dynamics of neural populations — cannot change rapidly, suggesting that neural activity dynamics may both reflect and constrain how the brain performs computations.
Quantum computing is drawing more attention now than generative AI did before ChatGPT’s release. This sparks big questions about what QC could achieve in 2025.