AZoNano

Self Learning Motion Control Algorithms - What to Expect

The primary motivation for the PI’s team was achieving motion performance considered impossible by others. This pertains to the Bode sensitivity integral, which implies that enhancing one frequency ...
pv magazine International

Swiss researchers developing control algorithm for grid-forming inverters

A research team from Swiss research institute ETH Zurich has created a new algorithm for operating inverters in a grid-forming mode. The patented algorithm operates the inverter as a voltage source, ...
Nasdaq

MicroAlgo reports development of hybrid classical-quantum algorithms

MicroAlgo (MLGO) announced the development of an innovative hybrid algorithm that combines classical and quantum computing to optimize Multi-Query Optimization problems. “MicroAlgo’s hybrid algorithm ...
ascopubs.org

Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
Embedded

Mastering motor control: synchronization, timing, and software

Graceful Shutdown: Ensuring the motor and controller are shut down safely when the application is stopped. If the application operates on a multicore MCU/DSP/FPGA, an appropriate inter-core ...