BIOENGINEER

Machine Learning Spots Broken Circuit Parts With 98.5% Accuracy

Researchers developed a two-stage random forest framework that classifies faults in Sallen–Key and Chebyshev analog filter ...
Medical Xpress

New neural circuits that regulate spatial learning and memory in the brain's hippocampal formation discovered

A research team led by University of California, Irvine has discovered new neural circuits that regulate spatial learning and memory in the brain's hippocampal formation. The team identified novel ...
Semiconductor Engineering

Analog On-Chip Learning Circuits In Mixed-Signal Neuromorphic SNNs

A technical paper titled “Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks” was published by researchers at Institute of Neuroinformatics, University of ...
EurekAlert!

New quantum encoding methods slash circuit complexity in machine learning

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...
Semiconductor Engineering

Analog Circuits Enabling Learning in Mixed-Signal Neuromorphic SNNs, With Tristate Stability and Weight Discretization Circuits

A technical paper titled “Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks” was published by researchers at University of Zurich and ETH Zurich.
Nature

Evolution of circuits for machine learning

Cyrus F. Hirjibehedin is in the Quantum Information and Integrated Nanosystems group, Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, Massachusetts 02421, USA. Although computers ...