Novel framework enables fine control over the intensity and expressiveness of AI-generated human motion, as reported by researchers from Science Tokyo. The “Motion Style Slider” framework enables animators to control the style and adjust a virtual character’s motion, from subtle to overly exaggerated, based on only two motion samples. The proposed approach achieves consistent style control and smooth transitions without the need for extensive motion-capture datasets.

Schooling fish have long fascinated us with their mesmerizing collective movements and seemingly perfect coordination. But a new study on clonal mollies suggests that this behavior is not innate. During their first days of life, the fish still display distinct individual behaviors, and it is only around one month of age that they begin to form cohesive shoals, developing the coordinated movements characteristic of the group. However, several shoals of genetically identical clones begin to behave differently after a few weeks. The study was conducted by the Cluster of Excellence ‘Science of Intelligence (SCIoI)’, the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Humboldt Universität zu Berlin, and UC Davis and published in Current Biology.

Researchers at the Icahn School of Medicine at Mount Sinai have developed an artificial intelligence (AI) approach using data from wearable devices that can forecast upcoming periods of prolonged sitting in women with chronic pelvic pain disorders. The findings, published in the September 30 online issue of npj Women’s Health [DOI: 10.1038/s44294-026-00156-5], could inform personalized digital health tools that prompt the individual to move, such as by taking a short walk, at the right time while minimizing unnecessary alerts.

A new framework developed by SUTD researchers could improve how robots, autonomous systems and augmented reality tools recognise objects and navigate complex real-world environments.

Researchers at Chalmers University of Technology in Sweden have developed an AI scientist capable of generating scientific hypothesis, designing experiments, and interpreting results. Making new biological discoveries with minimal human intervention is an important advance in self-driving laboratories.Researchers at Chalmers University of Technology in Sweden have developed an AI scientist capable of generating scientific hypothesis, designing experiments, and interpreting results. Making new biological discoveries with minimal human intervention is an important advance in self-driving laboratories.

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