A new computing paradigm could help us to overcome a key performance bottleneck to improve our ability to query large data bases.
A simple alteration in the functionality of our clothing could surprisingly help lower energy consumption in buildings and homes.
Driven by a machine learning algorithm, the closed-loop biohybrid device maintained a set membrane voltage in human stem cells for 10 hours.
A new strategy allows researchers control robotic movement using fluids, creating flexible, untethered systems with promising applications.
Researchers create new soft electrostatic zipping actuators manufactured through an integrated printing process for next generation soft robotics.
Prototype device electronically replicates the way human skin senses pain.
A new machine vision system can adapt to its surroundings and paves the way for in-situ neuromorphic recognition tasks.
An AI-based process recommender system for injection molding allows non-experts to set process conditions in real time.
A new layer-by-layer fabrication process allows researchers to create new and improved soft robot actuators with variable degrees of stiffness.
Researchers use radio-based imaging to monitor stent implants without invasive techniques.