Science Space Deep Space Space Telescope Two neutron stars may have formed the first known'superkilonova' The historic explosion was 1.3 billion light-years away from Earth. Breakthroughs, discoveries, and DIY tips sent every weekday. A double blast of dying stars may be the first observed case of a long-hypothesized, never proven "superkilonova." Although astronomers are still searching for concrete answers, a study published in may detail the historic explosion about 1.3 billion light-years from Earth. Most of the universe's massive stars end their lives in a blaze of glory as supernovae, but that's not always the case.

Breakthroughs, discoveries, and DIY tips sent every weekday. A newborn star 15,000 light-years from Earth is fascinating astronomers with its dual blasts of superheated plasma jets . The rare sight captured in stunning detail by the James Webb Space Telescope (JWST) isn't only a display of cosmic forces. It's helping solve a decades' long debate about the origins of massive stellar objects. Located at the edge of the Milky Way galaxy inside a nebula known as Sharpless 2-284 (Sh2-284), the young protostar is already upwards of 10 times the mass of our sun .

New images of two novae are'like going from a grainy black-and-white photo to high-definition video.' Breakthroughs, discoveries, and DIY tips sent every weekday. The recent deaths of two white dwarf stars are challenging our understanding of both novae and the powerful physics underlying star death. According to astronomer John Monnier, the initial analysis of these often dramatic novae offers an "extraordinary leap forward" for the field. "The fact that we can now watch stars explode and immediately see the structure of the material being blasted into space is remarkable," said the University of Michigan astronomer and a co-author of a study published on December 5 in the journal .

In 1181, Egyptian, Chinese, and Japanese scholars documented a cosmic explosion. A scan of an Arabic manuscript of the dīwān of Ibn Sanā' al-Mulk dating back to 1181-1182 (left). The Annual perseid meteor seen in the sky on August 14, 2023. The meteors have a radiant bordering on Cassiopeia and Camelopardalis (right). Fischer et al. 2025, Astronomical Notes (left).

Astronomers illustrated supernova SN 2024ggi in all of its gassy glory. This artist's impression shows a star going supernova. About 22 million light-years away the supernova, SN 2024ggi, exploded in the galaxy NGC 3621. Breakthroughs, discoveries, and DIY tips sent every weekday. According to their study recently published in the journal, their stellar accomplishment thanks to quick thinking and intense geometrical calculations is already providing clues to longstanding questions about some of the universe's most impressive and powerful events .

It's the first coronal mass ejection seen outside our sun. Breakthroughs, discoveries, and DIY tips sent every weekday. Skygazers can once again thank the sun for the latest round of Northern Lights that recently danced above much of the United States. Also known as the aurora borealis in the north, (or aurora australis in the Southern Hemisphere) these night sky events get their start on the sun's surface after coronal mass ejections (CMEs) spew ionized clouds of high energy particles towards Earth. The radiation then interacts with the planet's magnetosphere and generates the vivid colors in Earth's atmosphere-as well as the occasional electrical grid and satellite array headache .

Science Space Deep Space Scientists predict the universe will end in'big crunch' Starts with a bang, ends with a crunch. Breakthroughs, discoveries, and DIY tips sent every weekday. Our vast universe might not be infinitely expanding after all. Some newly reviewed dark energy data may contradict the theory first posed in 1922 by the astronomer Alexander Friedmann. According to a study recently published in the, the cosmos will actually conclude with a "big crunch."

Breakthroughs, discoveries, and DIY tips sent every weekday. Astronomers taking a closer look at a cosmic showdown have spotted a rare, mindbending event 730 million light-years from Earth. After reviewing a massive stellar explosion, researchers believe they spotted a never-before-seen type of supernova that involves a nearby black hole. According to their study published August 13 in the Astrophysical Journal, it may be the first of many other, similar discoveries. Supernovae are some of the most violent moments in the universe.

The transformer architecture [1] has fundamentally transformed natural language processing, establishing itself as the dominant paradigm for language modeling and understanding tasks. However, the field's trajectory toward ever-larger models has created significant computational and economic challenges. Contemporary models such as OpenAI's GPT series, Anthropic's Claude, and Google's Gemini have pushed parameter counts into the hundreds of billions, resulting in unprecedented infrastructure costs that increasingly exceed the economic value these models generate in many practical applications. This scaling trajectory has reached a critical inflection point where the marginal benefits of additional parameters diminish rapidly while computational requirements grow exponentially. Despite this economic reality, there has been surprisingly limited systematic exploration of compact, efficient transformer architectures that could deliver comparable performance at sustainable computational costs. The prevailing assumption that model quality scales monotonically with parameter count has created a significant research gap in the sub-billion parameter regime, leaving unexplored the potential for architectural innovation to compensate for reduced scale. In this work, we challenge this scaling paradigm by presenting Supernova, a 650M parameter decoder-only transformer that demonstrates how careful architectural design and tokenization innovation can achieve performance comparable to significantly larger models while maintaining computational efficiency. Our approach is grounded in three fundamental principles: architectural efficiency through modern component integration, superior tokenization design, and dramatic improvements in data efficiency. 1

Testing video games is an increasingly difficult task as traditional methods fail to scale with growing software systems. Manual testing is a very labor-intensive process, and therefore quickly becomes cost prohibitive. Using scripts for automated testing is affordable, however scripts are ineffective in non-deterministic environments, and knowing when to run each test is another problem altogether. The modern game's complexity, scope, and player expectations are rapidly increasing where quality control is a big portion of the production cost and delivery risk. Reducing this risk and making production happen is a big challenge for the industry currently. To keep production costs realistic up-to and after release, we are focusing on preventive quality assurance tactics alongside testing and data analysis automation. We present SUPERNOVA (Selection of tests and Universal defect Prevention in External Repositories for Novel Objective Verification of software Anomalies), a system responsible for test selection and defect prevention while also functioning as an automation hub. By integrating data analysis functionality with machine and deep learning capability, SUPERNOVA assists quality assurance testers in finding bugs and developers in reducing defects, which improves stability during the production cycle and keeps testing costs under control. The direct impact of this has been observed to be a reduction in 55% or more testing hours for an undisclosed sports game title that has shipped, which was using these test selection optimizations. Furthermore, using risk scores generated by a semi-supervised machine learning model, we are able to detect with 71% precision and 77% recall the probability of a change-list being bug inducing, and provide a detailed breakdown of this inference to developers. These efforts improve workflow and reduce testing hours required on game titles in development.