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John Deere got “really serious” about autonomy in 2019, according to Joe Liefer, senior product manager of autonomy at John Deere Intelligent Solutions Group. Three years later – after forming an...
This column presents technologies that have applications in commercial areas, possibly creating the products of tomorrow. To learn more about each technology, see the contact information provided for that...
A research team demonstrated a way to recover phase information.
A haptic thumb-shaped sensor uses machine learning to accurately estimate where objects come into contact with the sensor and how large the applied forces are.
Learn the internal functioning of an AI processor that pulls from a variety of sensors, including radar, lidar, sonar, and cameras.
An AI framework enables scientists to improve an imaging technique, enhancing the performance of electron microscopes.
Learn about the aviation, space, cybersecurity, and engineering achievements happening at Embry-Riddle.
A deep-learning framework transforms images of intact skin acquired by an emerging noninvasive optical technology.
The fiber contains memory, temperature sensors, and a trained neural network program for inferring physical activity.
SensiCut, a smart material-sensing platform for laser cutters, can differentiate among 30 materials commonly found in makerspaces.
The technology has possible uses in monitoring disorders that affect fine motor skills such as Parkinson’s and Alzheimer’s.
This robotic arm fuses data from a camera and antenna to locate and retrieve items buried under piles and completely out of view.
Truly autonomous UAVs will require computer vision and navigation, cooperation between autonomous vehicles, and explainable and robust AI.
The system could one day replace LiDAR and cameras in automated manufacturing, biomedical imaging, and autonomous driving.
This AI turns even the blurriest photo into realistic computer-generated faces in HD.
The technology could improve the control of prosthetic hands and provide a sense of “touch” for amputees.
Designed for soldier uniforms, the fiber can sense, store, analyze, and infer activity when sewn into a piece of clothing.
A deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
The fabric-fiber has digital capabilities to collect, store, and analyze data using a neural network.
Dangerous “butterfly” landmines can be detected using low-cost drones and infrared cameras.
The technology could help computers process visual information more like the human brain.
Artificial intelligence is used to decode X-ray images faster, which could aid innovations in medicine, materials, and energy.
Because of their power density, lithium-ion batteries as used by electric vehicles (EV) are subject to strict quality monitoring. Industrial computed tomography (CT) increasingly is...
Software, already a major factor in vehicle operation, is driving major changes in design processes as its role continues to expand. Electronic architectures and software development strategies...
“We are tantalizingly close,” a recent blog post by Pittsburgh-based Locomation asserted regarding true driverless vehicles navigating public roadways. “But the challenges that...
This system can track the motion of the entire body with a small sensory network.
The device can translate expressions into emojis or silent speech commands.
Generating reliable training data to support deep learning for autonomous vehicle (AV) artificial intelligence (AI) via real-world recorded scenarios can be expensive, time inefficient and...
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