Sunday 21 March 2021
Artificial neuron device could shrink energy use and size of neural network hardware
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.
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2D all-organic perovskites: potential use in 2D electronics
Perovskites are among the most researched topics in materials science. Recently, a research team has solved an age-old challenge to synthesi...
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Do you need a MOSFET gate resistor? What value should it be? And should it go before or after the pulldown resistor? If you’re a bit impati...
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I was first introduced to logic gates when I was around 14 years old. I had heard that computers consisted of ones and zeroes. But I didn’t...
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A self-powered sensor could allow doctors to remotely monitor the recovery of surgical patients. The small, tube-like device is designed to ...
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