Toggle light / dark theme

An automated system could potentially monitor real-time images of coronal loop brightness shifts from the Solar Dynamics Observatory, thus enabling scientists to issue timely alerts.

“We could build on this and come up with a well-tested and, ideally, simpler indicator ready for the leap from research to operations,” said Vadim Uritsky, an expert in space physics at NASA’s Goddard Space Flight Center (GSFC) and Catholic University in Washington D.C.

The discovery of flickering coronal loops as a precursor to solar flares opens up transformative possibilities in both research and technology.

Across cosmic history, powerful forces have acted on matter, reshaping the universe into an increasingly complex web of structures. Now, new research led by Joshua Kim and Mathew Madhavacheril at the University of Pennsylvania and their collaborators at Lawrence Berkeley National Laboratory suggests our universe has become “messier and more complicated” over the roughly 13.8 billion years it’s been around, or rather, the distribution of matter over the years is less “clumpy” than it should be expected.

“Our work cross-correlated two types of datasets from complementary, but very distinct, surveys,” says Madhavacheril, “and what we found was that, for the most part, the story of structure formation is remarkably consistent with the predictions from Einstein’s gravity. We did see a hint for a small discrepancy in the amount of expected clumpiness in recent epochs, around four billion years ago, which could be interesting to pursue.”

The data, which was published in the Journal of Cosmology and Astroparticle Physics and the preprint server arXiv, comes from the Atacama Cosmology Telescope’s (ACT) final data release (DR6) and the Dark Energy Spectroscopic Instrument’s (DESI) Year 1.

In the world of modern optics, frequency combs are invaluable tools. These devices act as rulers for measuring light, enabling breakthroughs in telecommunications, environmental monitoring, and even astrophysics. But building compact and efficient frequency combs has been a challenge—until now.

Electro-optic , introduced in 1993, showed promise in generating optical combs through cascaded phase modulation but progress slowed down because of their high power demands and limited bandwidth.

This led to the field being dominated by femtosecond lasers and Kerr soliton microcombs, which, while effective, require complex tuning and , limiting field-ready use.

Google DeepMind is building a groundbreaking AI system capable of simulating the entire physical world to advance toward Artificial General Intelligence (AGI). By combining multimodal data like video, audio, and robotics, this world simulation AI aims to replicate real-world physics for applications in robotics, gaming, and scientific research. This ambitious project highlights Google’s focus on scaling AI models to achieve unprecedented levels of intelligence and realism.

Key Topics:
Google’s groundbreaking AI initiative to simulate the physical world for AGI development.
The integration of multimodal data like video, audio, and robotics in world simulation.
Real-world applications of AI-driven simulations in robotics, gaming, and scientific research.

What You’ll Learn:
How Google’s AI is paving the way to Artificial General Intelligence through world modeling.
The transformative potential of AI simulations in training robots and creating realistic environments.
Why these advancements represent a critical leap in technology and intelligence.

Why It Matters:

High-Speed Cosmic Kick: A New Black Hole Discovery

A newly formed black hole recently received a high-speed “kick,” thanks to gravitational waves, which propelled it at about 5 million kilometers per hour—roughly 200 times the speed of light. This surprising discovery was made through data collected by gravitational wave observatories LIGO and Virgo. These observatories detected spacetime ripples produced by the coalescence of two black holes on January 29, 2020, revealing the large recoil effect.

For the first time, scientists have measured the early universe running in extreme slow motion, showing that time was five times slower just a billion years after the Big Bang. By studying nearly 200 quasars – hyperactive supermassive black holes at the centers of ancient galaxies – researchers have provided new evidence for Einstein’s theory of general relativity regarding an expanding universe.

The Mystery of Early Universe Time Dilation

Einstein’s general theory of relativity predicts that, as the universe expands, distant objects (and therefore the early universe) should appear to experience slower time. However, directly observing this has been challenging due to the vast distances and the faint signals coming from early cosmic phenomena. Previous research had established this dilation back to half the age of the universe using supernovae, but quasars have now pushed this further back to just a tenth of the universe’s age.

Cool biophysical modeling of the endoplasmic reticulum!

Active liquid network [ https://www.czbiohub.org/life-science/a-simple-model-for-an-…structure/](https://www.czbiohub.org/life-science/a-simple-model-for-an-…structure/)


Scientists use math and physics to address the mystery of just how the endoplasmic reticulum, an organelle essential to life at the cellular level, continually re-arranges itself.

Ferroelectrics at the nanoscale exhibit a wealth of polar and sometimes swirling (chiral) electromagnetic textures that not only represent fascinating physics, but also promise applications in future nanoelectronics. For example, ultra-high-density data storage or extremely energy-efficient field-effect transistors. However, a sticking point has been the stability of these topological textures and how they can be controlled and steered by an external electrical or optical stimulus.

A team led by Prof. Catherine Dubourdieu (HZB and FU Berlin) has now published a paper in Nature Communications that opens up new perspectives. Together with partners from the CEMES-CNRS in Toulouse, the University of Picardie in Amiens and the Jozef Stefan Institute in Ljubljana, they have thoroughly investigated a particularly interesting class of nanoislands on silicon and explored their suitability for electrical manipulation.

“We have produced BaTiO3 nanostructures that form tiny islands on a silicon substrate,” explains Dubourdieu. The nano-islands are trapezoidal in shape, with dimensions of 30–60 nm (on top), and have stable polarization domains.