A new multimodal 4D dataset developed at Institute of Science Tokyo provides a detailed model of how humans and dogs interact through movement, gestures, and speech. The curated dataset “InterPet4D” comprises 6.83 million synchronized frames obtained from 23 human participants and 13 dogs representing 11 breeds. Additionally, the researchers developed an AI framework, InterPetMoGen, using this dataset to predict and generate dog movements responding to human actions and audio cues.

Tokyo, Japan- Prediction is a defining feature of intelligent behavior. Researchers at The University of Tokyo developed a spiking-network model that learned what event would occur, when it would occur, and how likely it was. The single network rapidly recalibrated when timing or probabilities changed, using local learning. The findings suggest a computational framework for adaptive, brain-inspired AI and testable ideas about how neural systems update expectations across dynamic environments and changing real-world conditions.

A research team led by Prof. QIAN Peiyuan, Chair Professor of the Department of Ocean Science at The Hong Kong University of Science and Technology (HKUST), in collaboration with international partners, has made significant progress in uncovering how deep-sea chemosynthetic symbioses cope with environmental change. The findings reveal that metabolic flexibility in the symbionts, coupled with the host's finely regulated population of bacterial symbionts, mutually sustains the host's energy stability. This provides important in situ evidence of how chemosynthetic holobionts at deep-sea cold seeps remain resilient when energy supplies fluctuate and highlights the key role of a tiered adaptation strategy in sustaining the stability of cold seep ecosystems.

A new technology has been developed that can rapidly predict city-scale structural damage even when portions of satellite imagery are obscured by clouds or smoke immediately after a disaster.

A research team has developed a reusable magnetic sensor that detects trace amounts of uranyl ions, a mobile form of uranium, in water. 

An Australian-first study has found that more than 50 percent of drivers were speeding prior to a police enforcement alert appearing on the Waze navigation app – and this dropped to about 25 percent after the alert.