New radio burst method helps locate universe’s missing ordinary matter

Gas distribution around galaxies
Caption: Simulated gas distribution (blue, green, and yellow colors) around galaxies (white dots on the image). The study finds that gas in our Universe extends farther from galaxies than most simulations predict, indicating strong activity from galaxies that have expelled gas away from galaxy groups.
Credit: IllustrisTNG

Stars and galaxies make up much of the universe’s ordinary, observable matter. But for decades, scientists have wrestled with a cosmic conflict: There should be much more.

Physicists have good estimates of how much matter was present in the early universe. Shortly after the Big Bang, roughly 83% of all matter in the universe was composed of invisible dark matter, with ordinary matter making up the rest...

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Nanoparticles could remove harmful immune molecules from blood

Nanoparticles could remove harmful immune molecules from blood
Schematic illustration of SOLIDs. The nanodegrader system contains a rigid SP core for lysosome self-sorting and a shell for target capture. Credit: Jiayan Wu. Nanyang Technological University.

The immune system, the body’s defense network against infections and injuries, can sometimes become too active. In these cases, it can produce too many immune mediators, fragments of genetic material or proteins that regulate immune responses.

An excess of these molecules in the bloodstream can cause severe inflammation, sometimes leading to life-threatening medical conditions such as sepsis and acute lung injury. Sepsis is an extreme and life-threatening response to a bacterial, viral or fungal infection...

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Hidden prompts can plant false memories in AI agents, researchers warn

Study exposes security risks of AI agents with long-term memories
Stateless LLM agents process each interaction in isolation. LLM agents with persistent memory allow for querying and retrieving saved information. Credit: Torres, Shrestha & Misra.

Large language models (LLMs), the computational algorithms underpinning ChatGPT, Gemini and other artificial intelligence (AI)-powered conversational platforms, are now widely used worldwide. These models can rapidly answer questions, source information online, assist users with specific tasks and produce text tailored for specific purposes.

Over the past few years, computer scientists have introduced a wide range of LLMs, some of which can also complete tasks autonomously and take actions on a user’s behalf, for instance, answering messages, scheduling online appointments or updating programming code...

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How the sun goes to ‘sleep’ could reveal future space weather when it wakes

Sunspots are regions of intense magnetic activity on the Sun's surface. The number of sunspots rises and falls over the Sun's approximately 11-year activity cycle and is one of the main ways astronomers track and predict solar activity.
Sunspots are regions of intense magnetic activity on the Sun’s surface. The number of sunspots rises and falls over the Sun’s approximately 11-year activity cycle and is one of the main ways astronomers track and predict solar activity.
Credit NASA/SDO Licence type Attribution (CC BY 4.0)

Scientists have developed a new way to predict the strength of the sun’s next activity cycle up to seven years before it reaches its peak.

The new method uses the number of sunspots at a newly identified “switchoff” point in the solar cycle, when the sun’s most extreme space weather suddenly comes to an end. Using this approach, researchers have made an early prediction for the strength of Solar Cycle 26.

A very early prediction shows a moderate Cycle 26 with a sunspot number of around 100–120, s...

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