Tiny “rhinoceros beetle” robot does micro-scale manipulation in extreme conditions
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Updates every hour. Last Updated: 13-Jun-2025 01:09 ET (13-Jun-2025 05:09 GMT/UTC)
The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers at the Technical University of Munich (TUM) have developed a method that is 100 times faster and therefore much more energy efficient. Instead of taking an iterative approach, the parameters are computed directly based on probabilities. The results so far are comparable in quality to existing iterative methods.
RMIT sustainable fashion experts have collaborated with brands to create guidelines aimed at eliminating wasteful designs and promoting durable fashion that supports reuse and recycling.
New research published in the journal Marine Pollution Bulletin is the first UK-based research to investigate the links between geography, community and patterns of litter accumulation in the environment. The study was carried out by scientists from the International Marine Litter Research Unit at the University of Plymouth, ZSL, Nantes Université, and the campaign group Surfers Against Sewage, with the help of almost 100 citizen scientists right around the UK.
Researchers from SRM Institute of Science and Technology, led by Dr. KN Aruljothi, have published a study in ExRNA highlighting the role of exosomal RNA (exRNA) in head and neck cancers (HNCs). Exosomal RNAs, including miRNA, mRNA, and lncRNA, are secreted by tumor cells and play a pivotal role in cancer progression by modulating key signaling pathways such as NF-κB, EGFR, and PI3K/AKT/mTOR. These exRNAs influence the tumor microenvironment, promote metastasis, and contribute to immune evasion and therapy resistance. The study underscores the potential of exRNA-based liquid biopsy through saliva and blood samples for early diagnosis and treatment monitoring, presenting a promising avenue for precision oncology in HNC management.
A collaborative research team led by the Hong Kong University of Science and Technology (HKUST), the Southern University of Science and Technology (SUSTech), and the National Center for Applied Mathematics Shenzhen (NCAMS) has introduced a nitrogen-centric framework that explains the light-absorbing effects of atmospheric organic aerosols. Published in Science, this groundbreaking study reveals that nitrogen-containing compounds play a dominant role in the absorption of sunlight by atmospheric organic aerosols worldwide. This discovery signifies a major step towards improving climate models and developing more targeted strategies to mitigate climate impact of airborne particles.