Toggle light / dark theme

AI-generated podcasts open new doors to make science accessible

The first study to use artificial intelligence (AI) technology to generate podcasts about research published in scientific papers has shown the results were so good that half of the papers’ authors thought the podcasters were human.

In research published in the European Journal of Cardiovascular Nursing (EJCN), researchers led by Professor Philip Moons from the University of Leuven, Belgium, used Google NotebookLM, a personalized AI research assistant created by Google Labs, to make podcasts explaining research published recently in the EJCN.

Prof. Moons, who also presented the findings at the Association of Cardiovascular Nursing and Allied Professions (ACNAP) conference in Sophia Antipolis, France, said, In September 2024, Google launched a new feature in NotebookLM that enables users to make AI-generated podcasts. It made me think about how it could be used by researchers and editors.

Navier–Stokes existence and smoothness

The problem concerns the mathematical properties of solutions to the Navier–Stokes equations, a system of partial differential equations that describe the motion of a fluid in space. Solutions to the Navier–Stokes equations are used in many practical applications. However, theoretical understanding of the solutions to these equations is incomplete. In particular, solutions of the Navier–Stokes equations often include turbulence, which remains one of the greatest unsolved problems in physics, despite its immense importance in science and engineering.

Living Planet Symposium opens in Vienna

ESA’s Living Planet Symposium, one of the world’s leading Earth observation conferences, opened today in Vienna.

More than 6,500 participants from almost 120 countries signed up to attend the event. With more than 4,200 scientific presentations and posters, the symposium provides a forum and meeting point for scientists, academics and space industry representatives, as well as students and citizens.

The event takes place every three years and this year the focus is ‘from observation to climate action and sustainability for Earth’

Single-molecule magnet could lead to stamp-sized hard drives capable of storing 100 times more data

Chemists from The University of Manchester and The Australian National University (ANU) have engineered a new type of molecule that can store information at temperatures as cold as the dark side of the moon at night, with major implications for the future of data storage technologies.

The mystery of Mercury’s missing meteorites, and how we may have finally found some

Most meteorites that have reached Earth come from the asteroid belt between Mars and Jupiter. But we have 1,000 or so meteorites that come from the moon and Mars. This is probably a result of asteroids hitting their surfaces and ejecting material toward our planet.

It should also be physically possible for such debris to reach the Earth from Mercury, another nearby rocky body. But so far, none have been confirmed to come from there—presenting a longstanding mystery.

A new study that my colleagues and I conducted has discovered two meteorites that could have a Mercurian origin. If confirmed, they would offer a rare window into Mercury’s formation and evolution, potentially reshaping our understanding of the planet nearest the sun. Our work is published in the journal Icarus.

Computational trick enables better understanding of exotic state of matter

It can be found inside gas giants such as Jupiter and is briefly created during meteorite impacts or in laser fusion experiments: warm dense matter. This exotic state of matter combines features of solid, liquid and gaseous phases. Until now, simulating warm dense matter accurately has been considered a major challenge.

An international team led by researchers from the Center for Advanced Systems Understanding (CASUS) at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) in Germany and Lawrence Livermore National Laboratory (LLNL) has succeeded in describing this state of matter much more accurately than before using a new computational method. The approach could advance and help in the synthesis of new high-tech materials.

The team presents its results in the journal Nature Communications.

/* */