A new wearable device turns the sweat and press of a fingertip into a source of power for small electronics and sensors. This sweat-fueled device is the first to generate power even while the wearer is asleep—no exercise or movement required.
It is possible to re-create a bird’s song by reading only its brain activity, shows a first proof-of-concept study from the University of California San Diego. The study is an early step toward building vocal prostheses for humans who have lost the ability to speak.
A new 3D bioprinter developed by UC San Diego nanoengineers operates at record speed—it can print a 96-well array of living human tissue samples within 30 minutes. The technology could help accelerate high-throughput preclinical drug screening and make it less costly.
A new technology could dramatically improve the safety and performance of lithium-ion batteries that operate with gas electrolytes at ultra-low temperatures. By keeping electrolytes from vaporizing, the technology can prevent pressure buildup inside the battery that leads to swelling and explosions.
UC San Diego engineers developed a technology that turns a conventional light microscope into what's called a super-resolution microscope. It improves the microscope's resolution (from 200 nm to 40 nm) so that it can be used to directly observe finer structures and details in living cells.
An infrared imager developed by UC San Diego engineers could be used to see through smog and fog; easily locate blood vessels on a patient; and see through silicon wafers to inspect the quality of electronic boards. It is also slim, compact and less costly to fabricate than similar technologies.
How do different parts of the brain communicate with each other during learning and memory formation? A study by researchers at UC San Diego takes a first step at answering this fundamental neuroscience question, thanks to a neural implant that monitors multiple brain regions at the same time.
UC San Diego nanoengineering professor Oscar Vazquez-Mena is taking nanomaterials to the next dimension. By integrating different nanoscale materials together in 3D, he is creating a new generation of devices for environmental monitoring, energy harvesting and biomedical applications.
Neural network training could one day require less computing power and hardware, thanks to a new nanodevice that can run neural network computations using 100 to 1000 times less energy and area than existing CMOS-based hardware.