The new graphene-based conductive hydrogel electrodes offer convenience of use, controllable degradation, and excellent signal transmission Implantable bioelectrodes have great potential for efficient biological signal transmission. However, use of conventional metal-based bioelectrodes is associated with painful incision, tissue inflammation, inefficient signal transduction, and uncontrolled stability in living biological systems. To…

Scientists devise a position-controlled doping strategy to improve the thermoelectric performance of indacenodithiophene-based polymer High charge carrier mobility and low thermal conductivity of indacenodithiophene (IDT)-based polymers make them ideal candidates for thermoelectric materials. However, they suffer from low electric conductivity, a prerequisite for high thermoelectric performance. …

Edited by Rachel Gordon Communications and Media Relations Manager at MIT’s Computer Science and Artificial Intelligence Laboratory The system is cost-effective, scalable, and provides high-resolution with an “intelligent carpet” touch sensor, opening doors to VR gaming and healthcare applications. Limited physical spaces in modern, urban life pose locomotion challenges. Virtual…

Study shows that Melting Arctic Ice May Lead to Unpredictable Winter Weather Across the Globe A warmer Arctic has been linked to extreme winter weather in the midlatitude regions. But, it is not clear how global warming affects this link. In a new study, researchers from Korea and USA show…

The novel design is flexible, lightweight, and completely biodegradable, suggesting its potential for developing scalable, renewable energy systems Conventional thermoelectric generators (TEGs), devices that convert heat to electricity, are bulky and rigid as they require out-of-plane heating and cooling areas to create a temperature difference. To tackle this, researchers from…

Scientists propose a deep neural network-based platform for identifying candidate antimicrobial peptides Antimicrobial peptides (AMPs) are a promising new weapon for combating the growing antimicrobial resistance of bacteria and other harmful microorganisms. Now, researchers from the Gwangju Institute of Science and Technology developed a new, easily interpretable AI-powered prediction model…

The protective tetraphenylporphyrin layer prevents the degradation of inexpensive nickel­–iron catalysts Nickel–iron (Ni–Fe) catalysts are promising materials for the production of green hydrogen, but they are limited by the easy dissolution of Fe inside water-splitting cells. …

The new two-stage stochastic optimization model accounts for variations and uncertainty in renewable energy to make the optimal scheduling decision Microgrids are crucial for integrating renewable energy into the electrical grid. But current microgrid models ignore the inherent uncertainty of renewable energy supply. Now, scientists from Gwangju Institute of Science…

It utilizes an object detection algorithm that learns human spectating data to find engaging viewports Human game observers are a vital part of the Esports industry. They use extensive domain knowledge to decide what to show to the spectators. However, they may miss important events, necessitating the need for automatic…