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.
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.
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’