Scientists have cracked how rabies virus controls human cells with just five proteins. The key lies in shape-shifting proteins that hijack cellular RNA systems, a strategy likely used by other deadly viruses.
Scientists have discovered shot noise hundreds of times larger than theoretically predicted in superconducting junctions. This unprecedented quantum phenomenon could revolutionize our understanding of exotic superconductivity and quantum computing.
Researchers have developed a novel optical method to detect carbon layers as thin as 25 nanometers that poison noble metal catalysts. This non-destructive approach could revolutionize catalyst monitoring in industrial processes from fuel cells to chemical manufacturing.
Researchers have quantified how training AI models on low-quality web data leads to performance degradation. The study shows significant declines in reasoning and memory capabilities when models are exposed to “junk” content, raising concerns about current data collection practices.
Artificial intelligence models may be suffering from a form of digital cognitive decline when trained on low-quality web content, according to reports from a multi-university research team. Sources indicate that what researchers are calling “LLM brain rot hypothesis” suggests continual pre-training on trivial online text induces lasting performance degradation in large language models, mirroring effects observed in humans consuming large volumes of unchallenging digital content.
The Fundamental Connection Between Charge and Energy in 2D Materials Recent breakthroughs in van der Waals (vdW) materials have revealed…
Breakthrough in Cardiac Regeneration In a landmark study published in npj Regenerative Medicine, researchers have demonstrated that platelet-derived growth factor-AB…
The New Frontier in Quantum Computing Materials Recent breakthroughs in quantum materials research have revealed surprising advantages in unstrained germanium…
Scientists have developed a revolutionary quantum teleportation-based speed meter that transforms conventional position sensors into quantum non-demolition measurement devices. The breakthrough enables precision measurements beyond standard quantum limits without requiring modifications to existing interferometer configurations. This advancement promises significant improvements for gravitational-wave detectors and other precision measurement applications.
Researchers have proposed a groundbreaking quantum teleportation-based speed meter that fundamentally transforms interferometric displacement sensing, according to reports published in npj Quantum Information. The new approach converts conventional position-sensing interferometers into quantum non-demolition speed measurement devices without requiring modifications to their fundamental optical configurations. This development represents a significant advancement in overcoming fundamental quantum limitations that have constrained precision measurement science for decades.
The Hidden Code in Cancer Cells: DNA Methylation’s Role in Treatment Resistance High-grade serous ovarian cancer (HGSC) remains one of…
Scientists have created a novel classical algorithm that efficiently samples from distributions previously thought to require quantum computers. The breakthrough method leverages enhanced Markov chain techniques to simulate Gaussian boson sampling on unweighted graphs with polynomial-time complexity.
In what analysts suggest could represent a significant development in the quantum-classical computing debate, researchers have reportedly developed an efficient classical algorithm for sampling from Gaussian boson sampling (GBS) distributions on unweighted graphs. According to reports published in Nature Communications, the new method challenges the notion that certain sampling tasks necessarily require quantum hardware to achieve practical efficiency.
