Electronic CAD

Tests demonstrate viability of 3D-printed electronics for rapid, affordable prototyping and low-volume manufacturing of antennas.

Do mechanical engineers know enough about software to meet the demands of increasingly connected and 'smart' product design?

Electroflight uses Zuken’s E3.series electrical design software for all-electric aircraft.

This CAD to CAE solution from DfR Solutions offers physics predictions and much more.

There's a new APN Partner Competency Program from Amazon Web Services. Graebert was among the first Advanced Technology Partners to achieve the AWS Industrial Software Competency with its cloud-based CAD technology, ARES Kudo.

Electric vehicles are introducing new levels of complexity to automotive design.

The United Technologies Research Center and researchers at the University of Connecticut (UConn) are leveraging 3D printing technology to create wear sensors that can let operators know when a machine is damaged.

E³.HarnessAnalyzer enables OEMs and suppliers to open, inspect and collaborate on previously proprietary harness design data generated by different authoring tools used in the industry.

Arena Solutions, cloud-based product realization platform for complex electronics and medical device companies, offers Arena Requirements Management as part of its Summer 2018 software release.

Flexible hybrid electronics based medical sensors boast numerous selling points, most of which can be summed up as enabling better data collection.

Company uses Siemens PLM Connections conference to explain how it’s stitching together solutions from recent acquisitions into an effective digital thread.

Solid Edge 2019 adds electrical and printed circuit board (PCB) design technologies, new requirements management capabilities, integrated simulation analysis, and more. In a separate announcement, Siemens PLM Software will begin delivering its NX software product using a Continuous Release methodology in...

Small form factor, intense computation and 3D-printed circuitry test design and analysis in the ECAD industry.

Users of the Arduino ecosystem challenged to design and build solutions for Industry 4.0 applications.

AI has begun to come into its own, making tremendous strides over the past few years. But for all its successes, applications of AI-like machine learning, neural networks and deep learning have been slow to find a place in electronic...