Researchers have developed a stretchable strain sensor that combines sensitivity and range, allowing it to detect minor changes in strain than previous technologies.
Researchers at North Carolina State University have created a ring-shaped soft robot capable of pulling a small payload across the surface – in ambient air or under water, as well as passing through a gap narrower than its ring size. See video
North Carolina State University researchers learn that network pruning can adversely affect the performance of the model at identifying certain groups.
A blueprint for creating algorithms that more effectively incorporate ethical guidelines into artificial intelligence (AI) decision-making programs has been developed.
If autonomous vehicles are ever going to achieve widespread adoption, we need to know they are capable of navigating complex traffic situations, such as merging into heavy traffic when lanes disappear on a highway.
North Carolina State University researchers have developed an approach to federated learning that allows them to develop accurate artificial intelligence (AI) models more quickly.
Researchers have developed soft robots that are capable of navigating complex environments without input from humans or computer software. See video.
Researchers have developed and demonstrated a ‘self-driving lab’ that uses AI and fluidic systems to advance understanding of metal halide perovskite (MHP) nanocrystals, which could be used to improve many different materials.
A North Carolina State University study finds that one key to promoting STEM education is making classrooms feel more inclusive.
Researchers at North Carolina State University have developed a computational tool that allows users to conduct simulations of multi-functional magnetic nanoparticles, which could be used in applications such as drug delivery and sensor technologies.
North Carolina State University researchers have created ionogel materials that are stretchable, tough and can be 3D-printed.
A technique developed by North Carolina State University researchers uses compression to drastically reduce the size of data transmissions, creating additional opportunities for artificial intelligence (AI) training on wireless technologies.
North Carolina State University researchers have developed a technique called MonoCon that is designed to improve the ability to identify 3D objects using 2D images.
A new design for thermal actuators has been developed to help create rapid movement in soft robotic devices.
North Carolina State University have developed a process that makes use of existing industry standard techniques for making III-nitride semiconductor materials, but results in layered materials that will make LEDs and lasers more efficient.
Researchers from the U.S. Military Academy at West Point and North Carolina State University developed a model to help determine how to incorporate additive manufacturing (AM) technologies into spare part supply chains.
Researchers at North Carolina State University have developed materials that can transform into multiple different architectures, which could benefit applications ranging from construction to robotics. See video.
The metamaterial is made using 3D printing technologies, which allows engineers to create networks of tiny tubes, known as microvasculature, that can be incorporated into a range of structural composites.
A technique for retrieving nanowires from electronic devices that have reached the end of their utility and then using those nanowires in new devices has been developed by North Carolina State University researchers.
North Carolina State University researchers have developed a method for controlling how artificial intelligence (AI) systems create images, which could help in applications such as autonomous robotics and AI training.
A new law of physics that accounts for how robots grip objects, particularly web ones, has been discovered by North Carolina State University researchers.
A virtual laboratory can be used to determine the artificial intelligence (AI) tools best suited for addressing various chemical synthesis challenges and it could be used for other applications.
Combining feature normalization and feature attention modules into a single module called attentive normalization (AN) improved deep neural networks' performance.
A computational model that can be used to identify the best allocation plans for distributing COVID-19 test kits to hospitals, clinics, and relevant state agencies has been developed by North Carolina State researchers.
A suite of algorithms has been developed to improve the performance of cyber-physical systems by balancing each component’s need for data with how fast that data can be sent and received.
North Carolina State University researchers have developed a computational model that shows how changes in the nanostructure of materials affect their conductivity, which could help improve energy storage devices for many electronic devices.
North Carolina State and University of Buffalo researchers have developed Artificial Chemist, which is a technology that incorporates artificial intelligence (AI) and an automated system for performing chemical reactions to accelerate R&D and manufacturing of commercially desirable materials.
Researchers at North Carolina State University have developed software to enable people using robotic prosthetics or exoskeletons to walk in a safer, more natural manner on different types of terrain.
North Carolina State University researchers have developed a type of soft robot capable of moving more quickly on solid surfaces or in the water, which was inspired by how cheetahs move.
North Carolina State University engineering researchers have created ultrathin, stretchable electronic material that is gas permeable and is designed specifically for use in biomedical or long-term wearable technologies. See video.
North Carolina State University researchers engineered a catalyst that can more efficiently convert ethane into ethylene, which is used in a variety of manufacturing processes including plastics and shale gas.
A study from North Carolina State University finds that companies that disclosed cybersecurity risk management efforts before and after a competitor’s breach fared the best.
North Carolina State University researchers are proposing a framework that would allow users to understand the rationale behind artificial intelligence (AI) decisions, which would improve transparency and move away from black box systems.
North Carolina State University researchers have found that a combination of steel composite metal foam (CMF) and epoxy resin has more benefits than the aluminum currently in widespread use for aircraft wings.
North Carolina State researchers have developed a structure called soft tactile logic, which senses, computes and responds without any centralized processing and has the characteristics of a robot and computer.
Researchers from North Carolina State University have developed a technique for measuring speed and distance in indoor environments called Wi-Fi-assisted inertial odometry (WIO), which could be used to improve navigation technologies for robots and drones.
Researchers have developed a technique that allows them to remotely control the movement of soft robots using light and magnetic fields.
North Carolina State University researchers have developed a mobile process sensor that uses analytics to identify plant diseases in the field by sampling airborne volatile organic compounds (VOCs) plants release through their leaves with a mobile instrumentation device.
Researchers at North Carolina State University have demonstrated a technique called in situ scanning electron microscopy (SEM) heating and loading, which allows them to track microscopic changes in metals or other materials in real time in extreme environments such as nuclear reactors.
Aydin Aysu, a researcher at North Carolina State University, is offering a course to prepare students to make use of next-generation cybersecurity tools such as cryptography hardware.
North Carolina State University researchers have developed AOGNets, a framework for building deep neural networks that uses a compositional grammar approach to extract useful information from raw data.
North Carolina State researchers have developed a framework for deep neural networks that allows artificial intelligence (AI) systems to become better at performing previous tasks by learning from its prior actions.
North Carolina State University researchers have developed a technique that reduces training time for deep learning networks without sacrificing accuracy.
North Carolina State University researchers have developed a system for synthesizing perovskite quantum dots to reduce manufacturing costs for real-time process monitoring to help ensure quality control.