Explosions typically connected to black holes and dying stars may happen right in our planet’s atmosphere, too.

A new study reveals a fresh way to control and track the motion of skyrmions—tiny, tornado-like magnetic swirls that could power future electronics. Using electric currents in a special magnetic material called Fe₃Sn₂, the team got these skyrmions to “vibrate” in specific ways, unlocking clues about how invisible spin currents flow through complex materials.
The discovery not only confirms what theory had predicted but also points to a powerful new method for detecting spin currents—a discovery that could one day lead to more efficient memory and sensing devices in future electronics. The findings are published in the journal Nature Communications.
Led by Assistant Prof. Amir Capua and Ph.D. Candidate Nirel Bernstein from the Institute of Applied Physics and Nano Center at Hebrew University in collaboration with Prof. Wenhong Wang and Dr. Hang Li from Tiangong University, the team explored how skyrmions behave in a special magnetic material called Fe₃Sn₂ (iron tin).
A recent study has mathematically clarified how the presence of crystals and gas bubbles in magma affects the propagation of seismic P-waves. The researchers derived a new equation that characterizes the travel of these waves through magma, revealing how the relative proportions of crystals and bubbles influence wave velocity and waveform properties.
The ratio of crystals to bubbles in subterranean magma reservoirs is crucial for forecasting volcanic eruptions. Due to the inaccessibility of direct observations, scientists analyze seismic P-waves recorded at the surface to infer these internal characteristics.
Previous studies have predominantly focused on the influence of gas bubbles, with limited consideration given to crystal content. Moreover, conventional models have primarily addressed variations in wave velocity and amplitude decay, without capturing detailed waveform transformations.
Researchers have now ‘heard’ the echo of cyclones whirling ocean waters from all the way on the other side of our planet.
Microseismic waves generated by interactions between the ocean and Earth’s crust might be able to help us peer into otherwise hidden parts of Earth’s geological structure, such as regions left shrouded by a scarcity of high-energy earthquakes in the North Atlantic.
“Our research uses these microseismic phenomena as an alternative data source to study the Earth’s structure beneath Australia,” says seismologist Hrvoje Tkalčić from Australian National University.
NASA scientists, in collaboration with researchers from Japan’s University of Toho, have used supercomputers to model the far future of Earth’s habitability. Their findings offer a clear—if distant—timeline for the end of life on our planet.
According to the study, the Sun will be the ultimate cause of the end of life on Earth. Over the next billion years, its output will continue to increase, gradually heating the planet beyond the threshold of life. The research estimates that life on Earth will end around the year 1,000,002,021, when surface conditions become too extreme to support even the most resilient organisms.
But the decline will begin much earlier. As the Sun grows hotter, Earth’s atmosphere will undergo significant changes. Oxygen levels will fall, temperatures will rise exponentially, and air quality will worsen. These shifts, projected through detailed climate change and solar radiation models, map out when life on Earth will end, not as a sudden collapse but as a slow and irreversible decline.
When it comes to creating images of the earth from above, satellites, drones, planes and spacecraft are what tend to come to mind. But a startup called Near Space Labs is taking a very different approach to taking high-resolution photos from up high.
Near Space Labs is building aircraft that are raised by helium balloons and then rely on air currents to stay up, move around to take pictures from the stratosphere, and eventually glide back down to earth. On the back of significant traction with customers using its images, the startup has now raised $20 million to expand its business.
Bold Capital Partners (a VC firm founded by Peter Diamandis of XPRIZE and Singularity University fame), is leading the Series B round. Strategic backer USAA (the U.S. Automobile Association) is also investing alongside Climate Capital, Gaingels, River Park Ventures, and previous backers Crosslink Capital, Third Sphere, Draper Associates, and others that are not being named. Near Space Labs has now raised over $40 million, including a $13 million Series A in 2021.
Scientists are racing against time to try and create revolutionary, sustainable energy sources (such as solid-state batteries) to combat climate change. However, this race is more like a marathon, as conventional approaches are trial-and-error in nature, typically focusing on testing individual materials and set pathways one by one.
To get us to the finish line faster, researchers at Tohoku University developed a data-driven AI framework that points out potential solid-state electrolyte (SSE) candidates that could be “the one” to create the ideal sustainable energy solution.
This model does not only select optimal candidates, but can also predict how the reaction will occur and why this candidate is a good choice—providing interesting insights into potential mechanisms and giving researchers a huge head start without even stepping foot into the lab.
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial intelligence (AI) model inspired by neural oscillations in the brain, with the goal of significantly advancing how machine learning algorithms handle long sequences of data.
AI often struggles with analyzing complex information that unfolds over long periods of time, such as climate trends, biological signals, or financial data. One new type of AI model called “state-space models” has been designed specifically to understand these sequential patterns more effectively. However, existing state-space models often face challenges—they can become unstable or require a significant amount of computational resources when processing long data sequences.
To address these issues, CSAIL researchers T. Konstantin Rusch and Daniela Rus have developed what they call “linear oscillatory state-space models” (LinOSS), which leverage principles of forced harmonic oscillators—a concept deeply rooted in physics and observed in biological neural networks.
Tesla is ramping up production of its Semi trucks to 50,000 units annually by 2026, while enhancing performance, charging infrastructure, and electrification solutions to support the transition from diesel ## ## Questions to inspire discussion ## Production and Delivery.
🏭 Q: When will Tesla Semi production and deliveries begin? A: Tesla Semi customer deliveries will start in 2026, with production ramping throughout the year to reach a goal of 50,000 units/year at the Nevada plant.
🚚 Q: What are the key features of the new Tesla Semi? A: The Tesla Semi offers 500 mile long range and 300 mile standard range options, with improved mirror design, better sight lines, enhanced aerodynamics, and drop glass for easier driver interaction. Technology and Efficiency.
🔋 Q: How does the new HP battery improve the Tesla Semi? A: The new HP battery is cheaper to manufacture, maintains the same range with less battery energy, and achieves over 7% efficiency improvements, creating a positive feedback loop for cost and weight reduction.
⚡ Q: What is the e-PTO feature in the Tesla Semi? A: The electric power takeoff (EPTO) enables support for longer combinations, more trailer equipment, and helps electrify additional pieces of equipment, facilitating broader industry transition to electric solutions. Charging Infrastructure.
🔌 Q: What charging solutions is Tesla developing for the Semi? A: Tesla is building a publicly available charging network with 46 sites along truck routes and in major industrial areas, including stations at truck stops, to ensure low-cost, reliable, and available charging for every semi.