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.
at
Labels:

No comments:

Post a Comment

Subscribe to: Post Comments (Atom)

How 'clean' does a quantum computing test facility need to be?

How to keep stray radiation from 'shorting' superconducting qubits; a pair of studies shows where ionizing radiation is lurking and ...

  • Arduino MCP2515 CAN Bus Interface Tutorial
    In this project, we will learn about the MCP2515 CAN Controller Module, how to interface the MCP2515 CAN Bus Controller with Arduino and fin...
  • Logic Gates And How They Work
    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...
  • MOSFET Gate Resistor
    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...