Uncover reality

After three decades of planning, research, and engineering, the Vera C. Rubin Observatory in Chile is opening a new window into the universe with the largest digital camera ever built. Designed to capture billions of distant galaxies and discover previously unknown objects, this extraordinary machine could change how scientists understand the cosmos. For decades, astronomers have relied on powerful telescopes to explore distant galaxies, investigate mysterious asteroids, and study the evolution of the universe. Now, a remarkable new instrument is taking this exploration to another level. Located at the Vera C. Rubin Observatory in Chile, the world's largest digital camera is designed to photograph the southern sky on an enormous scale, capturing details that would be impossible to observe with ordinary cameras. Known as the Legacy Survey of Space and Time (LSST) Camera , this technological marvel combines a massive image sensor, advanced optical systems, and sophisticated cooling ...

Scientists have developed tiny biohybrid robots powered by lab-grown mouse muscle cells that can jump, swim, walk across surfaces and even grasp objects. The breakthrough, achieved by researchers at ETH Zurich, Switzerland, could open new possibilities for building robots that move more naturally by combining living tissues with artificial materials. The most interesting part of the research is not simply the use of living muscles. Instead, the scientists discovered that the way muscle tissue connects and interacts with a soft artificial structure plays a major role in determining how much movement a robot can produce. By designing these two components together using computer simulations, the researchers created muscle-powered devices capable of producing much larger movements than earlier systems containing comparable amounts of muscle tissue. The findings were published in the journal Nature Communications in a study titled Co-optimized volumetric muscle design for large dynamic def...

Researchers have developed a tiny optical device that directs red, green and blue light to the correct sensor locations instead of wasting much of it. The breakthrough could improve low-light photography, reduce motion blur and help cameras capture clearer images with shorter exposure times. Taking clear photographs in low light remains a major challenge for smartphone and digital camera manufacturers. Whether someone is capturing a city skyline at night, photographing wildlife at dusk or taking pictures indoors, poor lighting often produces grainy images, blurred details and inaccurate colors. One major reason is the way conventional camera sensors capture color. Most digital cameras use tiny color filters that allow only specific wavelengths of light to reach individual pixels. Although this method has become a standard part of digital photography, it also wastes a significant amount of incoming light. Now, an international research team from Singapore, China and Japan has developed ...

A stunning new image of a young stellar nursery 161,000 light-years away reveals glowing gas clouds, hidden newborn stars, and powerful stellar winds shaping the future of an entire region of space. The universe is filled with places where stars are born, but some of these stellar nurseries are so complex and turbulent that they resemble enormous cosmic storms. A remarkable new image captured by NASA and the European Space Agency’s James Webb Space Telescope offers a detailed look inside one such region, revealing how thousands of stars begin their lives amid thick clouds of gas and dust. The region, known as LHA 120-N 159, or simply N159, lies approximately 161,000 light-years from Earth in the Large Magellanic Cloud. This small galaxy orbits our Milky Way and contains several active star-forming regions. Spanning approximately 230 light-years across, the newly revealed scene showcases a spectacular mixture of glowing blue gas, smoky orange clouds, dark molecular filaments, and young ...

Scientists discover that showing astronauts what movement is coming next could reduce nausea during spacecraft landings, potentially making the journey back to Earth safer. Returning to Earth after spending time in space is not always an easy experience for astronauts. After living in microgravity, where objects and people float freely, their bodies must readjust to Earth's gravity. This sudden change can cause nausea, dizziness, balance problems, and motion sickness. The symptoms can become particularly challenging when a spacecraft lands in the ocean and moves with the waves. Now, researchers led by Taylor L. Lonner have investigated a possible solution: giving astronauts visual information about how their spacecraft is moving and, more importantly, how it will move next. Their findings suggest that anticipating future motion could help reduce nausea and improve astronauts' ability to tolerate the rocking motion experienced during a simulated ocean landing. The research could...

Imagine browsing the internet and smelling freshly brewed coffee from a picture, experiencing the aroma of a glass of wine in a virtual restaurant, or enjoying the scent of an orange while watching a video. What sounds like science fiction could one day become part of our digital lives. Researchers from The Ohio State University in the United States and Zhejiang Laboratory in China have developed a new technology that could bring this idea closer to reality. Their system, called Scentronic, uses artificial intelligence to identify, transmit and recreate smells remotely. Unlike earlier technologies that often required bulky equipment or manual controls, this new approach is designed to work automatically and could eventually be integrated into wearable devices. The research represents an important step toward making the internet more immersive by adding the sense of smell to our digital experiences. How Does the Technology Work? Today, the internet mainly allows people to share informa...

As the world looks for alternatives to lithium-ion batteries, scientists are exploring sodium-ion technology as a promising option. Now, researchers at the University of Surrey have taken an important step toward using artificial intelligence (AI) to help design better sodium-ion batteries. The researchers have created a new library of battery materials containing 28 different chemical compositions. This collection could eventually provide the data needed to train machine-learning models capable of predicting which materials are most likely to produce high-performing batteries. Why Sodium-Ion Batteries Matter Lithium-ion batteries are widely used in smartphones, laptops, electric vehicles and renewable-energy storage systems. However, lithium is relatively limited in supply and is unevenly distributed around the world. This can create challenges for large-scale battery production. Sodium offers an attractive alternative because it is far more abundant and widely available. Sodium-ion ...