Multimodal thin-film transistors, or MMTs, could be pivotal in designing the next-generation of wearables and eco-disposable sensors.
Intelligent Systems and Robotics
Improving autonomy in soft robots using magnetic fluids
A new strategy allows researchers control robotic movement using fluids, creating flexible, untethered systems with promising applications.
Printing soft machines
Researchers create new soft electrostatic zipping actuators manufactured through an integrated printing process for next generation soft robotics.
Stealthy microrobots that can evade the immune system
Zwitterionic polymers allow researchers to fabricate drug-carrying microrobots that can operate covertly under the immune system’s radar.
New electronic skin can react to pain like human skin
Prototype device electronically replicates the way human skin senses pain.
Adaptive vision for self-driving cars
A new machine vision system can adapt to its surroundings and paves the way for in-situ neuromorphic recognition tasks.
Are AI models explainable in a way that humans can understand them?
A reality-rooted perspective on “explainable AI” and what this means for the future of the field.
Machine learning methods provide new insights into organic-inorganic interfaces
Simulations at Graz University of Technology refute earlier theories on long-range charge transfer between organic and inorganic materials.
Anyone can control injection molding with an AI helper
An AI-based process recommender system for injection molding allows non-experts to set process conditions in real time.
Simplifying the design of soft robotic actuators
A new layer-by-layer fabrication process allows researchers to create new and improved soft robot actuators with variable degrees of stiffness.
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