Researchers at TalTech find that the activation of AMPK is dependent on muscle type
Peer-Reviewed Publication
Updates every hour. Last Updated: 25-Apr-2025 00:14 ET (25-Apr-2025 04:14 GMT/UTC)
Recently, the team of Prof. Nishuang Liu and Prof. Yihua Gao from Huazhong University of Science and Technology has reviewed the recent advances in self-powered sensors based on ionic hydrogels. The review was published in Research as “Recent Advances in Self-Powered Sensors Based on Ionic Hydrogels”. This review systematically summarizes the self-powered mechanism of ionic hydrogel self-powered sensors, structural engineering related to device and material properties, and related applications, and discusses the challenges and future development of ionic hydrogel self-powered sensors.
New SIFT algorithm, developed by ETH computer scientists, continuously reduces uncertainty of AI responses using carefully selected enrichment data tailored to the specific question.
Algorithm recognises information relevant to question and selects specific data for AI processing that reduces uncertainty and improves responses.
Method particularly beneficial for users who want to combine their own specialised data with a general AI model and reduce the required computing power.