Researchers from the University of Electronic Science and Technology of China, led by Xunkai Li and including Zhengyu Wu, Zekai Chen, Henan Sun, Daohan Su, Guang Zeng, Hongchao Qin, Rong-Hua Li, and Guoren Wang, have developed a new approach to impro
LION Framework Roars into Energy Data Analysis Read More »
In the realm of energy and sensor technology, a trio of researchers from the University of Borås in Sweden have developed a novel approach to improve the efficiency and accuracy of remote state estimation in wireless sensor networks. Nho-Duc Tran, Aa
Swedish Researchers Revolutionize Energy Sensor Networks with Delay-Aware Framework Read More »
Researchers from the University of Stuttgart, led by Jörg Wrachtrup, have made a significant advancement in quantum technology that could simplify and enhance quantum devices used in various fields, including energy-related applications. The team, in
Quantum Leap: Simplified Spin Control Boosts Energy Tech Read More »
The CMS Collaboration, a group of international researchers working with the Compact Muon Solenoid (CMS) detector at the Large Hadron Collider (LHC), has recently published a study on the production of W boson pairs through a process known as photon
CMS Collaboration’s Photon Fusion Study Sheds Light on Fundamental Forces Read More »
In the realm of medical imaging and artificial intelligence, a team of researchers from various institutions, including the University of Technology Sydney, the University of Sydney, and the University of California, have developed a novel approach t
AI Breakthrough: MVSC Enhances Alzheimer’s Diagnosis, Hints at Energy Sector Potential Read More »
Researchers from the University of Hong Kong, led by Jinhao Zhang and including Zhexuan Zhou, Huizhe Li, Yichen Lai, Wenlong Xia, Haoming Song, Youmin Gong, and Jie Me, have developed a new approach to improve the efficiency of robotic manipulation s
HKU Team’s PocketDP3 Boosts Robotic Efficiency with Lightweight 3D Vision Read More »
Researchers from the University of California, Berkeley, including Xiyuan Liu, Christian Hacker, Shengnian Wang, and Yuhua Duan, have developed a new machine learning approach to accelerate the discovery of materials for hydrogen storage. Their work,
UC Berkeley Team Speeds Up Hydrogen Storage Material Discovery with AI Read More »
Researchers from the University of California, Berkeley, and the University of Hong Kong have developed a new approach to metric depth estimation, a crucial technology for various applications in the energy sector, including robotics, autonomous vehi
MetricAnything: A Breakthrough in Depth Estimation for Energy Innovations Read More »
In a groundbreaking study, a team of researchers led by Matthew Belyakov from the California Institute of Technology has made the first-ever spectroscopic characterization of an interstellar object at mid-infrared wavelengths. The team, which include
Caltech Team Discovers Methane in Interstellar Comet, Hints at New Energy Insights Read More »
In the realm of energy research, a team of scientists led by N. Lonigro from the EUROfusion Tokamak Exploitation Team and the MAST Upgrade Team has been exploring innovative approaches to improve plasma exhaust in tokamak reactors. Their recent work,
Revolutionizing Fusion Energy: XPT Divertor Boosts Plasma Exhaust Efficiency Read More »
