Tag: energy-efficient computing

A Nature Reviews Physics review co-authored by UCLA researchers describes computing platforms in which self-organizing nanowire and nanoparticle networks physically ...

A reconfigurable transistor and neural-network-in-logic architecture reduced the hardware needed for handwritten-digit recognition in simulation and produced large estimated energy ...

A University of Michigan-led team is developing a multiferroic M3BOLT device that uses magnetic and sound waves to represent information, ...

Researchers at the University of Edinburgh have developed an adiabatic capacitive neuron that recycles electrical charge to cut artificial neural ...

Researchers have demonstrated a photonic chip that trains itself on the hardware using on-chip holography to compute physical gradients, achieving ...

University of Tennessee researchers Ahmedullah Aziz and Sai Swaminathan have received NSF CAREER Awards to advance superconducting logic for quantum ...

Researchers report a framework for all-optical diffractive neural networks that process temporal information by manipulating light fields in both space ...

Researchers have built a reconfigurable computing architecture in which molybdenum disulfide dual-gate transistors with ferroelectric gating act as both spiking ...

Researchers have developed a machine learning framework that models long and short-term music preferences, decomposes sparse heterogeneous traffic data, and ...

A multiphasic gel system with cascaded-heterointerface ion traps achieves multistate ionic neuromorphic processing at 0.61 picojoules per spike and has ...