Matt Shipman

Matt Shipman, research communications lead, North Carolina State University

Articles

Sensors, Actuators January 15, 2023

Researchers demonstrate strain sensors for machine interface technology

Researchers have developed a stretchable strain sensor that combines sensitivity and range, allowing it to detect minor changes in strain than previous technologies.

By Matt Shipman
Robotics December 23, 2022

Autonomous crawling ringbots navigate narrow gaps

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

By Matt Shipman
Edge Computing, Embedded Systems November 2, 2022

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.

By Matt Shipman
Image courtesy: Brett Sayles
Edge Computing, Embedded Systems October 11, 2022

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.

By Matt Shipman
Control Systems August 27, 2022

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.

By Matt Shipman
Image courtesy: Brett Sayles
Edge Computing, Embedded Systems July 14, 2022

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.

By Matt Shipman
Courtesy: North Carolina State University
Robotics June 9, 2022

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.

By Matt Shipman
Edge Computing, Embedded Systems April 15, 2022

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.

By Matt Shipman
Courtesy: Cincinnati Incorporated
Workforce Development March 24, 2022

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.

By Matt Shipman
Courtesy: Yaroslava Yingling and Akhlak Ul-Mahmood, North Carolina State University
Simulators, Optimizers March 17, 2022

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.

By Matt Shipman
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