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Dec 25, 2024

Senolytic CAR T cells reverse senescence-associated pathologies

Posted by in category: life extension

Chimeric antigen receptor (CAR) T cells targeting uPAR, a cell-surface protein that is upregulated on senescent cells, eliminate senescent cells in vitro and in vivo and reduce liver fibrosis in mice.

Dec 25, 2024

Inter-Galactic Static

Posted by in category: entertainment

Track 6 from the Album: Uncharted Reality.

“Sir Karland, you imply this project is secret, that not even the Brinian Royal Council, or R.B.R.D.C. knows of its existence, is this true?”

Continue reading “Inter-Galactic Static” »

Dec 25, 2024

Scientists Enlist Santa Claus to Help Build Tomorrow’s Quantum Workforce

Posted by in category: quantum physics

A study explores how the jolly gift-bringer’s Christmas Eve deliveries could serve as an engaging analogy for quantum teleportation.

Dec 25, 2024

The Mathematical Language of Consciousness

Posted by in categories: mathematics, neuroscience, quantum physics

A breakthrough discovery in quantum semantics.

Dec 25, 2024

Imagining spacetime as a visible grid is an extraordinary journey into the unseen

Posted by in category: futurism

What if we could see spacetime? Embark on a visual journey through the invisible gravitational currents that shape our universe.

Dec 25, 2024

The Magnetic Secret Behind Star Formation Uncovered

Posted by in categories: materials, space

Researchers have discovered magnetic fields deep within the merging galaxy Arp 220, suggesting these fields might be crucial for efficient star formation, acting like a cosmic lid that prevents the “boiling over” of star-forming materials.

This breakthrough, observed using the Submillimeter Array in Hawaii, could explain why some galaxies produce stars more effectively than others.

Star Formation Secrets Unveiled

Dec 25, 2024

Solar-powered lasers could usher a new era of space exploration

Posted by in categories: satellites, sustainability

Scientists have found a way to directly convert sunlight into laser beams in space.


In the future, spacecraft could get rid of the limited fuel problem by tapping into the limitless energy of the sun.

Continue reading “Solar-powered lasers could usher a new era of space exploration” »

Dec 25, 2024

MIT’s light-activated antiferromagnetic memory could replace today’s ferromagnets

Posted by in categories: computing, particle physics, security

The research team, led by physics professor Nuh Gedik, concentrated on a material called FePS₃, a type of antiferromagnet that transitions to a non-magnetic state at around −247°F. They hypothesized that precisely exciting the vibrations of FePS₃’s atoms with lasers could disrupt its typical antiferromagnetic alignment and induce a new magnetic state.

In conventional magnets (ferromagnets), all atomic spins align in the same direction, making their magnetic field easy to control. In contrast, antiferromagnets have a more complex up-down-up-down spin pattern that cancels out, resulting in zero net magnetization. While this property makes antiferromagnets highly resistant to stray magnetic influences – an advantage for secure data storage – it also creates challenges in intentionally switching them between “0” and “1” states for computing.

Gedik’s innovative laser-driven approach seeks to overcome this obstacle, potentially unlocking antiferromagnets for future high-performance memory and computational technologies.

Dec 25, 2024

Microbes Have Memory: Surprising Parallels Between Simple Microrganisms and Sophisticated Neurons

Posted by in categories: biological, neuroscience

Discovery draws surprising parallels between low-level organisms and sophisticated neurons; lays the groundwork for memory-capable biological systems.

Biologists studying collectives of bacteria, or “biofilms,” have discovered that these so-called simple organisms feature a robust capacity for memory.

Continue reading “Microbes Have Memory: Surprising Parallels Between Simple Microrganisms and Sophisticated Neurons” »

Dec 25, 2024

New LLM Technique Slashes Memory Costs up to 75 Percent

Posted by in category: robotics/AI

Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications on top of large language models (LLMs) and other Transformer-based models.

The technique, called ‘universal transformer memory,’ uses special neural networks to optimize LLMs to keep bits of information that matter and discard redundant details from their context.

From VentureBeat.

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