How a Random Fibonacci Tiling Makes Covering Time Countable
A random Fibonacci tile pattern turns a wandering growth problem into exact predictions about when distant lattice points get covered.
New approach
A New Simulation Traces How Cosmic Rays Could Steady Early Galaxies
A new galaxy simulation links cosmic rays, bursty star formation and changing winds to explain how early galaxies may have grown.
A Tiny Chip Learns Four Ways by Reusing Its Neural Machinery
A small chip adapts to new examples, accumulating keywords, learning from descriptions, and predicting sequences with one compact neural pipeline.
A Cosmic Double Check Could Test Einstein’s Gravity Anew
A microlensing-and-orbit method could test Einstein’s gravity in weak fields by weighing the same distant binary stars two different ways.
How Researchers Turned an AI’s Messy Trail Into a Decision Map
A new method turns an AI agent’s raw actions into a probabilistic behavior map, then uses it to guide smaller models through complex tasks.
A Quiet Probe Can Steer Particles Into Strange Quantum Symmetries
A simulated lattice study finds that monitoring site occupancy can steer particles into bosonic, fermionic, and intermediate symmetry sectors.
The Moon Could Turn One Orbiter Into a 100-Kilometer Radio Telescope
A lunar orbiter could use reflections from the Moon to build a virtual radio telescope and explore the low-frequency sky hidden from Earth.
A Quasar’s Flicker Could Become a Ruler for Cosmic Expansion
A new method mines quasar flickers for cosmic distances, using Gaia-like simulations while confronting the calibration hurdles still ahead.
A Megapixel Infrared Sensor Learns to Count One Photon at a Time
A megapixel HgCdTe sensor resolves infrared photon arrivals at 70 K, offering a new path to low-noise astronomy.
A Two-Telescope Trick Could Bring Far-Infrared Worlds Into Focus
A laboratory interferometer combines two apertures and a scanning spectrometer to test sharper, frequency-resolved far-infrared space imaging.
A New Map Lets Physicists Watch Quantum Spin Order Unravel
A new spin-simulation method tracks environmental noise and long-range forces, revealing vortices and a surprising reentrant order.
A Tailored Infrared Camera Could Map Enceladus Pole to Pole
A proposed infrared mapper would tailor its filters to Enceladus’s thermal extremes, tracing heat, ice and possible surface salt.
TESS Turned Old Exoplanet Images Into a Dwarf-Planet Search
A clever star-subtraction and image-stacking method pulls a distant dwarf-planet candidate out of TESS data recorded years before its discovery.
The Robot’s Small Probe Could Tell It When to Let Go Safely
A robot uses tiny, information-seeking motions to distinguish a firm human grasp from a touch, improving handoff reliability in lab tests.
A New Search Tool Lets Astronomers Find the Figure, Not Just the Paper
A new astronomy search tool finds published figures from plain-language descriptions, tackling a blind spot in paper-focused literature searches.
How Quantum Snapshots Reveal Energy They Cannot Directly See
A thermometry method uses familiar quantum snapshots and calibrated equilibrium behavior to reconstruct hidden energy and charge as they spread.
A New Map Could Help Mathematicians Find the Lemma They Need
A theorem-by-theorem map links millions of mathematical claims across papers and Lean proofs, offering new ways to search—and revealing limits.
How Quantum Simulations Learned to Skip Ahead Without Losing Accuracy
A logarithmic-step tensor-network method cuts the cost of long imaginary-time simulations and reaches the tiny Kondo energy scale in a test impurity model.
Can a Language Model Spot the Galaxy Worth a Closer Look?
A vision-language model ranked Hubble galaxies by scientific promise, surfacing known anomalies and candidates while exposing the limits of a rare-object test.
A New AI Method Tracks Probability Across DNA’s Many Paths
A sampling method recovers lost probability in DNA-to-protein language models, reaching estimates that pruning could not feasibly compute.