Machine learning significantly reduces the time and cost involved in drug screening.
Intelligent Systems and Robotics
Octopus suckers inspire soft robotic arms
The remarkably agile arms of the octopus are a source of inspiration for the design of autonomous robots.
Bionic jellyfish to explore our oceans
Researchers at Caltech and Stanford use microelectronics to enhance jellyfish swimming.
Machine learning scopes out previously “invisible” microplastics
A new approach combines 3D coherent imaging with machine learning to detect microscale microplastics in filtered water samples.
Rinse, sense, adjust, repeat: Smart, resource-efficient washing machines
Researchers develop a biomimetic flow channel module that facilitates continuous process water analysis in washing machines.
Designing auxetics with artificial intelligence: Identifying next-generation metamaterial designs
Researchers from UC Berkeley are utilizing deep learning to bypass iterative finite element calculations. Their deep learning model is trained using finite element simulation data to predict the deformation behavior of favorable designs.
Actuating soft robots: Agile and forceful
Researchers develop dual-responsive muscle-like soft actuators with both dexterity and high mechanical strength.
Can AI solve the mysteries of photonic nanostructures?
A new approach seeks to use the “intelligence” aspects of AI to understand the physics of photonic nanostructures.
Team builds first living robots using frog stem cells
Tiny ‘xenobots’ assembled from cells promise advances from drug delivery to toxic waste clean-up.
Machine learning shapes microwaves for a computer’s eye
Hardware and software tweak microwave patterns to discover the most efficient way to identify objects.
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