Virtual human hand simulation holds promise for prosthetics

Animating human hands has long been considered one of the most challenging problems in computer graphics. That's because it has been impossible to capture the internal movement of the hand in motion — until now. Using magnetic resonance imaging (MRI) and a technique inspired by the visual effects industry, researchers have developed the world's most realistic model of the human hand's musculoskeletal system in motion. Applications include computer graphics, prosthetics, medical education, robotics, virtual reality.

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Portable electronics: A stretchable and flexible biofuel cell that runs on sweat

A unique new flexible and stretchable device, worn against the skin and capable of producing electrical energy by transforming the compounds present in sweat, was recently developed and patented. This cell is already capable of continuously lighting an LED, opening new avenues for the development of wearable electronics powered by autonomous and environmentally friendly biodevices.

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New way to produce curvy electronics

Contact lenses that can monitor your health as well as correct your eyesight aren't science fiction, but an efficient manufacturing method has remained elusive. Until now. Researchers have reported developing a new manufacturing method to produce the lenses, solar cells and other three-dimensional curvy electronics.

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Using light to speed up computation

Researchers have developed a type of processor called PAXEL, a device that can potentially bypass Moore's Law and increase the speed and efficiency of computing. Researchers looked at using light for the data transport step in integrated circuits, since photons are not subject to Moore's Law. Instead of integrated electronic circuits, much new development now involves photonic integrated circuits. The PAXEL accelerator takes this approach and uses power-efficient nanophotonics.

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Up-close and personal with neuronal networks

Researchers have developed an electronic chip that can perform high-sensitivity intracellular recording from thousands of connected neurons simultaneously. This breakthrough allowed them to map synaptic connectivity at an unprecedented level, identifying hundreds of synaptic connections.

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