Living cells cool much slower than our current understanding of heat conduction can explain, according to new research from the University of Tokyo. Researchers used two techniques — high-speed temperature mapping and artificial heating — to observe how heat dissipated from living cells and similar-sized artificial, fluid-filled sacs (liposomes). While heat dispersed quickly from the artificial liposomes as expected, cells cooled significantly more slowly due to other biomolecules within the cell. Understanding the process behind slower heat dissipation within cells could affect how we treat conditions linked to changes in body temperature, such as epilepsy, inflammation and cancer.

On the small Greek island of Kastellorizo, researchers have discovered Dolichopoda balrogi, a new species of cave cricket living inside an artificial underground tunnel. Named after Tolkien's subterranean demon, the find proves that human-made structures can harbour entirely unique and isolated ecosystems.

Researchers at the Faculty of Information Technology at the University of Jyväskylä have used artificial intelligence to speed up the analysis of colorectal cancer samples and predict the functioning of the cells’ DNA repair mechanism. The AI model's analysis can help shorten diagnosis times, reduce costs, and improve the analysis's accuracy. The research was conducted in collaboration with the Central Finland Welfare Region and is co-funded by the European Union.

An international team involving Graz University of Technology has investigated how heavy machinery can be operated more safely using extended reality applications. In the process, a disco laser outdid VR headsets.

Humans have evolved to be able to link intentions to emotions or physical actions. This is why we may approach someone with open arms but flee if someone approaches using threatening body language. While AI can accurately identify emotions, it struggles to derive intention from them. A research group, with the help of performers from Japan and Taiwan, has helped facilitate a means to bridge this gap.

Discovering new catalysts is one of the central challenges in developing clean-energy technologies such as green hydrogen production. Yet catalyst discovery has traditionally remained confined within individual material families, limiting researchers’ ability to transfer knowledge across chemically distinct systems.

A research team led by Director HYEON Taeghwan of the Center for Nanoparticle Research within the Institute for Basic Science (IBS) has developed an artificial intelligence (AI) framework that discovers catalysts in a fundamentally new way — by combining knowledge across different catalyst families.