Matt Shipman

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
Courtesy: North Carolina State University
Discrete Manufacturing March 9, 2022

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.

By Matt Shipman
Image courtesy: Brett Sayles
Edge Computing, Embedded Systems February 12, 2022

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.

By Matt Shipman
Courtesy: North Carolina State University
Edge Computing, Embedded Systems January 30, 2022

Technique improves AI ability to understand 3D space using 2D Images

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.

By Matt Shipman
Courtesy: Shuang Wu, North Carolina State University
Robotics December 29, 2021

Technique speeds up thermal actuation for soft robotics

A new design for thermal actuators has been developed to help create rapid movement in soft robotic devices.

By Matt Shipman
Courtesy: North Carolina State University
Discrete Manufacturing November 21, 2021

Synthesis process paves way for more efficient lasers, LEDs

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.

By Matt Shipman
Courtesy: Chris Vavra, CFE Media and Technology
Discrete Manufacturing September 23, 2021

Model advances incorporating 3D printing into supply chains

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.

By Matt Shipman
Courtesy: North Carolina State University
Discrete Manufacturing September 10, 2021

Shape-shifting architecture materials created

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.

By Matt Shipman
Sensors, Actuators August 20, 2021

Metamaterial reconfigured to modify its thermal, electromagnetic properties

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.

By Matt Shipman
Courtesy: North Carolina State University
‘Power of Industry’ will propel Hannover Fair 2001 July 27, 2021

Technique for recycling nanowires developed

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.

By Matt Shipman
Courtesy: Tianfu Wu, North Carolina State University
Edge Computing, Embedded Systems June 2, 2021

Controlling how AI systems create images

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.

By Matt Shipman
Courtesy: Chris Vavra, CFE Media and Technology
Robotics May 4, 2021

Robots learning to grasp friction

A new law of physics that accounts for how robots grip objects, particularly web ones, has been discovered by North Carolina State University researchers.

By Matt Shipman
Courtesy: North Carolina State University
Edge Computing, Embedded Systems March 24, 2021

Virtual lab uses AI tool for chemistry issues

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.

By Matt Shipman
Edge Computing, Embedded Systems September 22, 2020

Data processing module makes deep neural networks smarter

Combining feature normalization and feature attention modules into a single module called attentive normalization (AN) improved deep neural networks' performance.

By Matt Shipman
Edge Computing, Embedded Systems September 16, 2020

Computational model developed for COVID-19 testing allocation

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.

By Matt Shipman
Cybersecurity September 10, 2020

Manage data flow to boost cyber-physical system performance

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.

By Matt Shipman
Energy Efficiency July 11, 2020

Computational model developed to build better capacitors

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.

By Matt Shipman
Robotics June 17, 2020

Automated system developed to accelerate R&D, manufacturing of materials

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.

By Matt Shipman
Robotics May 29, 2020

Researchers incorporate computer vision, uncertainty into AI for robotic prosthetics

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.

By Matt Shipman
Robotics May 17, 2020

Soft robot movement speed inspired by cheetahs

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.

By Matt Shipman
System Integration May 5, 2020

Breathable electronics could lead to functional long-term wearable technology

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.

By Matt Shipman
Energy Efficiency April 28, 2020

Ethylene catalyst for manufacturing, shale gas developed

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.

By Matt Shipman
Cybersecurity November 5, 2019

Companies benefit from sharing cybersecurity efforts

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.

By Matt Shipman
Edge Computing, Embedded Systems October 26, 2019

Framework developed to make AI more transparent without sacrificing performance

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.

By Matt Shipman
Discrete Manufacturing October 22, 2019

Composite metal foam beneficial for aerospace manufacturing

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.

By Matt Shipman
Robotics September 24, 2019

Technology developed that computes and responds without centralized processing

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.

By Matt Shipman
Wireless September 7, 2019

Using Wi-Fi sonar to measure indoor movement speed and distance

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.

By Matt Shipman
Robotics August 9, 2019

Controlling soft robot movements with light, magnets

Researchers have developed a technique that allows them to remotely control the movement of soft robots using light and magnetic fields.

By Matt Shipman
Sensors, Actuators July 31, 2019

Mobile process sensor technology developed to identify plant diseases

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.

By Matt Shipman
Process Safety July 16, 2019

Technique developed to allow real-time microscopy at high heat and loading

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.

By Matt Shipman
Cybersecurity July 11, 2019

Teaching the next generation of cryptographic hardware experts

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.

By Matt Shipman
Edge Computing, Embedded Systems May 29, 2019

Framework developed to help deep neural network performance

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.

By Matt Shipman
Edge Computing, Embedded Systems May 19, 2019

Framework improves continual learning for artificial intelligence

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.

By Matt Shipman
Edge Computing, Embedded Systems May 7, 2019

Technique developed to reduce training time for deep learning networks

North Carolina State University researchers have developed a technique that reduces training time for deep learning networks without sacrificing accuracy.

By Matt Shipman
Process Manufacturing March 27, 2019

Nanocrystals improve quantum dot manufacturing for process monitoring applications

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.

By Matt Shipman