Minimizing the variability between individual artificial synapses is a key step toward rolling them out for practical applications.
Scientists develop a simple method that mimics plant motion to get paper to fold itself after printing.
Multimodal thin-film transistors, or MMTs, could be pivotal in designing the next-generation of wearables and eco-disposable sensors.
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.