Using variable speed drives on pumps reduces parasitic energy loss, enables proper maintenance and lowers capital costs.

Fifteen years ago, planning for a new substation upgrade barely considered how distributed energy resources (DERs) might ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...

The Cleveland Clinic and startup Piramidal are developing an AI model trained on brain wave data to monitor intensive care patients.

First unveiled in May at Google I/O 2025, Gemini 2.5 Deep Think is Google’s first publicly available multi-agent model. These systems spawn multiple AI agents to tackle a question in parallel, a ...

Determining heterogeneous electrochemical electron transfer (ET) kinetics in electrolytes with a wide range of physical properties is of great interest for achieving high-performance redox flow ...

This paper presents a templated approach for automatic generation of optimized library functions using Halide as a replacement for the functions generated by Simulink. Although Simulink is widely used ...

The MathWorks hardware support package automates code generation from MATLAB® and Simulink® models optimized explicitly for Qualcomm Technologies’ Hexagon NPU architecture to improve data ...