Matt Shipman
Matt Shipman, research communications lead, North Carolina State University
Articles
Network pruning can skew deep learning models
North Carolina State University researchers learn that network pruning can adversely affect the performance of the model at identifying certain groups.
Formula tackles complex moral decision-making for AI
A blueprint for creating algorithms that more effectively incorporate ethical guidelines into artificial intelligence (AI) decision-making programs has been developed.
Helping autonomous vehicles navigate tricky highway merges
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.
Approach to federated learning developed for creating AI models faster
North Carolina State University researchers have developed an approach to federated learning that allows them to develop accurate artificial intelligence (AI) models more quickly.
Twisted soft robots navigate mazes without human or computer guidance
Researchers have developed soft robots that are capable of navigating complex environments without input from humans or computer software. See video.
Self-driving lab used to improve nanocrystal understanding
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.
Inclusivity is key to promoting STEM education
A North Carolina State University study finds that one key to promoting STEM education is making classrooms feel more inclusive.
Multi-functional magnetic nanoparticles simulations help sensor technology
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.
3D-printable material designed to be tough, flexible
North Carolina State University researchers have created ionogel materials that are stretchable, tough and can be 3D-printed.
Technique makes federated learning easier for AI in wireless devices
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.