Nature

Wafer-scale functional circuits based on two dimensional semiconductors with fabrication optimized by machine learning

Two-dimensional (2D) semiconductors have potential applications from mainstream logic and analog circuits to flexible electronics 1,2,3,4,5,6,7,8. Semiconductive transition-metal dichalcogenides (TMDs ...
InfoQ

PrefixRL: Nvidia's Deep-Reinforcement-Learning Approach to Design Better Circuits

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
Nature

A hybrid numerical/machine learning model development to improve the bimetal performance in the electric circuit breakers

Bimetals are widely used as a thermal tripping mechanism inside the miniature circuit breakers (MCBs) products when an overload current passes through the circuit for a certain period. Experimental, ...
Phys.org

Accelerating nanoscale X-ray imaging of integrated circuits with machine learning

Researchers from MIT and Argonne National Laboratory have developed a machine learning technique that could greatly accelerate the process of nanoscale X-ray imaging of integrated circuits, ...
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.
News Medical

Mechanisms of aversive learning: How negative experiences shape neural circuits

'I'm not gonna do this again', we often say when faced with negative feedback, adverse effects, or disappointing outcomes. Thus, we attempt to learn from such negative experiences. This principle is ...