Components

Broad expansion of portfolio includes new capabilities for electrical design and requirements management.

Adaptive and Markforged help Humanetics create a 3D-printed “elderly” model with use of crash test dummies.

Real-world examples of returns from early costing projects.

You can take your pick of revolutionary technologies changing the world today. In the field of design engineering, technologies like simulation, cloud computing, artificial intelligence, augmented reality, additive manufacturing and sensor-laden, connected products are just a few with society-altering promise.

Creating the sensor represents a step in the instrumentation of the “things” populating the internet of things (IoT). Embedded sensors promise to provide the means to effectively capture in-situ data from industrial equipment, opening the door for advanced setup, maintenance...

Combatting engineering issues related to automated vehicles in combat settings.

Companies join forces to build secure, intelligent edge-to-cloud solution featuring Dell Edge Gateways, VMware Pulse IoT Center and Microsoft Azure IoT Edge.

The technology could be used to print temporary sensors on the bodies of soldiers, for example, to detect chemical or biological weapons. Printed solar cells could also be used to charge electronics.

Simulation software from IPG offers new functionalities for virtual test driving.

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

Factory Kit, Tulip reports, is an intuitive self-service solution that includes tools engineers need to quickly design, build and deploy manufacturing apps without writing code.

Using TASS’ PreScan virtual sensor imagery with the Mentor DRS360 platform can automate the development of algorithms for sensor fusion and processing, according to the company. Also, a new partnership was established with Cepton for physics-based LiDAR modeling.

The IoT is a new world of connected equipment and data flows, which means that good ideas will come from unexpected sources.

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...

So what is blockchain, why is it being so highly lauded and how can it be applied to engineering?