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AI could help human scientists pick promising research topics

Large language models (LLMs) could help human scientists identify interesting research topics that have not previously been explored, say scientists at Germany’s Karlsruhe Institute of Technology (KIT). By analysing abstracts in materials science publications and mapping connections between different concepts, the model was able to generate predictions for future areas of interest that the KIT team says are more precise than those produced by traditional, rule-based algorithms.

The number of research articles published each year is increasing so quickly that it is impossible for scientists to keep up with everything, observes team leader Pascal Friederich, who heads a KIT research group on artificial intelligence for materials sciences. While experienced scientists know how to find connections between research areas within their field, identifying links between these and other, unfamiliar topics is a different story.

Mapping Gene Variants Reveals New Neurodevelopmental Condition

By mapping all the possible variations in a single gene, researchers have uncovered a previously hidden neurodevelopmental condition.

ReNU syndrome is a rare, inherited neurodevelopmental disorder identified in 2024 that affects brain function, development, and motor skills and is predicted to affect tens of thousands of individuals worldwide.

Gravity’s subtle effect on light could improve groundwater, volcano and carbon storage monitoring

A study by University of Wollongong (UOW) physicist Dr. Enbang Li has demonstrated that gravity can subtly influence the behavior of light, a breakthrough that could underpin future technologies for monitoring groundwater, tracking glacier melt, locating mineral deposits and detecting underground changes linked to volcanic activity and carbon storage.

The study, published in Scientific Reports, shows early experimental evidence that photons—particles of light—interact with Earth’s gravitational field in measurable ways, laying the groundwork for a new generation of ultra-sensitive gravity sensors.

Dr. Li said the work could lead to more precise and compact next-generation sensing technologies for environmental monitoring, navigation and underground mapping.

Bing Brunton on Connecting the Connectome to the Body | Mindscape 352

Patreon: / seanmcarroll
Blog post with audio player, show notes, and transcript: https://www.preposterousuniverse.com/.

The connectome is the wiring diagram of a brain, a big matrix that tells us what neurons talk to what other neurons. Understanding it is an important step to understanding how brains work, but a long way from the final answer. A big next step is understanding how neuronal circuits connect to and guide bodily behavior. Very recent work on mapping the fruit-fly connectome has brought us closer to that goal. I talk with neuroscientist Bing Brunton about the connectome, how we can study it to understand bodily motion in flies and other creatures, and where it’s all taking us.

Bing Wen Brunton received her Ph.D. in neuroscience from Princeton University… She is currently a Professor of Biology and the Richard & Joan Komen University Chair at the University of Washington, with affiliations at the eScience Institute for Data Science, the Paul G. Allen School of Computer Science & Engineering, and the Department of Applied Mathematics.

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Sean Carroll channel: / seancarroll.

Large brain mapping dataset expands with new set of cognitive tasks

The Individual Brain Charting (IBC) project has released its fifth and largest update of high-resolution fMRI data, adding a new set of cognitive tasks to one of the most detailed brain-mapping datasets available today. The dataset, which is openly accessible through EBRAINS, is described in a new publication in Nature Scientific Data.

The new release expands the dataset with 18 tasks collected from 11 participants under tightly controlled, standardised conditions – bringing many of them close to 40 hours of scanned data each.

The IBC project launched in 2014 and was funded by the Human Brain Project. It aims to map how individual brains respond across a wide range of cognitive functions. By repeatedly scanning the same participants with diverse tasks – from mathematics and spatial navigation to emotion recognition, reward processing, and working memory – the team is building an exceptionally rich resource for studying individual variability in brain organization.

CHIME tracks a hyperactive repeating fast radio burst source

Using the Canadian Hydrogen Intensity Mapping Experiment (CHIME), an international team of astronomers has performed radio observations of FRB 20220912A—a highly active source of repeating fast radio bursts. Results of the monitoring campaign, published April 10 on the preprint server arXiv, could help us better understand the nature of these enigmatic sources.

Fast radio bursts (FRBs) are intense bursts of radio emission lasting milliseconds showcasing the characteristic dispersion sweep of radio pulsars. The physical nature of these bursts is yet unknown, and astronomers consider a variety of explanations ranging from synchrotron maser emission from young magnetars in supernova remnants to cosmic string cusps.

‘Interstellar glaciers’: NASA’s SPHEREx maps vast galactic ice regions

NASA’s SPHEREx (Spectro-Photometer for the History of the Universe, Epoch of Reionization, and Ices Explorer) mission has mapped interstellar ice at an unprecedented scale. Covering regions in our Milky Way galaxy more than 600 light-years across, the ice was found inside giant molecular clouds—vast regions of gas and dust where dense clumps of matter collapse under gravity, giving birth to stars. A study describing these findings was published Wednesday in The Astrophysical Journal.

One of SPHEREx’s main goals is to map the chemical signatures of various types of interstellar ice. This ice includes molecules like water, carbon dioxide, and carbon monoxide, which are vital to the chemistry that allows life to develop. Researchers believe these ice reservoirs, attached to the surfaces of tiny dust grains, are where most of the universe’s water is formed and stored. The water in Earth’s oceans —and the ices in comets and on other planets and moons in our galaxy—originates from these regions.

“These vast frozen complexes are like ‘interstellar glaciers’ that could deliver a massive water supply to new solar systems that will be born in the region,” said study co-author Phil Korngut, the instrument scientist for SPHEREx at Caltech in Pasadena, California. “It’s a profound idea that we are looking at a map of material that could rain on nascent planets and potentially support future life.”

Methane’s Elaborate Phases and Where to Find Them

A systematic exploration of the phase diagram of methane resolves inconsistencies of earlier studies, with potential ramifications for our understanding of planetary interiors.

As a gas, methane is very simple. But as a liquid and as a solid, it is perplexingly complex. Ambiguity has long plagued our observations and measurements of its structure at different pressure–temperature combinations. Yet, understanding methane’s phase diagram is vital for predicting its behavior deep within our and other planets. In a tour de force contribution Mengnan Wang at the University of Edinburgh in the UK and her colleagues have now charted the turbulent seas of the methane phase diagram [1]. By comprehensively mapping its phases and melting curve, they have resolved the legion of discrepancies of earlier studies.

Methane—one of the simplest of all molecules—is sometimes the subject of flatulence jokes (of which it is odorlessly innocent) but is also a powerful driver of climate change on Earth (of which it is very guilty [2]). The extraction of gaseous methane from Earth drives multibillion-dollar industries, which use the molecule both as a fuel and as a source of hydrogen. Out in the Solar System, methane in planetary atmospheres absorbs red light, which makes Uranus and Neptune shine blue, while icy methane damaged by radiation paints dwarf planets red.

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