A research team led by Prof. MENG Guowen and Prof. HAN Fangming from the Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, in collaboration with Prof. WEI Bingqing from the University of Delaware, has developed a highly crystalline three-dimensional graphitic carbon tube grid (3D-GCTG) that significantly improves the performance of filtering supercapacitors with thick electrodes.

Researchers from the High Magnetic Field Laboratory of the Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), together with collaborators from Ningbo Institute of Materials Technology & Engineering, CAS, and Eastern Institute of Technology, have developed a low-noise magnetic sensor that retains high sensitivity, thereby enabling improved weak-field detection.

New non-invasive sensors that measure muscle forces have been developed by University of Queensland researchers, unlocking new possibilities for wearable robotic mobility devices.  

Ultra-wideband radar sensors measure the electromagnetic changes in muscles as they contract, allowing researchers to collect data in a way that’s never been done before.  

A joint research team led by Professor Daesik Kim (Department of Medicine, Sungkyunkwan University), along with Professor Yong-Sub Kim (University of Ulsan College of Medicine) and Professor Jae-Hyun Park (Sungkyunkwan University School of Medicine), has announced the development of 'OpenABE' (Open Adenine Base Editor). By precisely engineering AI-derived next-generation base editors using structure-guided protein engineering, the team elevated gene editing efficiency by up to 36 times compared to conventional models. 

Three-dimensional atomic arrangements in nanoscale regions are essential information for the development of nanoscale devices and novel functional materials. Until now, however, there has been no method for observing them directly. In this study, the researchers developed an atom-holography microscope that measures a hologram from the region irradiated with a finely focused electron beam and performs holographic reconstruction to directly visualize the three-dimensional atomic arrangement. Because the microscope enables three-dimensional atomic arrangements in nanoscale regions to be measured anywhere, it is expected to be useful in the analysis of nanoscale devices and the development of novel functional materials.

As artificial intelligence becomes part of how people work, learn and solve problems, a new University of Phoenix survey conducted by The Harris Poll finds that recent working learners see meaningful opportunities for AI to support accessibility. The survey was designed to understand the impact of AI in the workplace and learning environments on accessibility, defined as ensuring digital content, tools and resources, including AI tools and output, are usable by people with different abilities through inclusive design, use of assistive technology or conformance with accessibility standards, such as the Web Content Accessibility Guidelines (WCAG). The findings were released ahead of the 36th anniversary of the Americans with Disabilities Act (ADA) on July 26.

The Department of Energy's Oak Ridge National Laboratory, in partnership with the National Laboratory of the Rockies, has launched a new national center to help strengthen the U.S. cement and concrete supply chain at a time of rising demand, increasing imports and mounting pressure on domestic infrastructure.

Researchers at Kennedy Krieger Institute and Penn Engineering announcing the development of an advanced artificial intelligence system that measures a child’s ability to imitate simple body movements using ordinary video recordings. The Computerized Assessment of Motor Imitation, or CAMI-2DNet, brings researchers one step closer to a scalable, objective method for evaluating imitation which is an important behavioral marker associated with autism.