Manufacturers face a difficult task juggling the current “innovation agenda.” Today, the Industrial Internet of Things (IIoT), robotic automation and artificial intelligence (AI) are all poised to be the next big thing.
Steve Pollack had just about reached early retirement age when longtime friend and colleague Joe DeSimone asked him to join Carbon, his startup 3D printing company.
Modern manufacturing is rapidly adopting model-based definition (MBD). When employing an MBD strategy, the CAD model becomes more than the nominal to which all parts are measured and inspected against. MBD keeps the all-important digital thread intact—from design to manufacturing to inspection and quality reporting.
At a Tier 1 automotive manufacturer in Mexico, it quickly became clear that AI in the factory was a fantastic solution to help human workers achieve greater levels of success; a human plus machine scenario where AI enhances the capabilities of, rather than replaces, human workers.
Claudia Jarrett, U.S. country manager at automation parts supplier EU Automation, explains why robots are more than affordable for small and mid-sized enterprises (SMEs).
An Eaton executive describes the automotive supplier's plans to utilize Industry 4.0.
Using 3D printing, or additive manufacturing (AM), in health care is on the rise, with the market expected to be worth nearly $26 billion by 2022. This growth goes well beyond just prototyping, as AM is already used throughout the industry to solve problems and improve care.
Formlabs was founded by MIT researchers in 2011, when high-quality 3D printing was inaccessible for most. We’ve now shipped over 50,000 machines while cementing our mission to “expand access to digital fabrication, so anyone can make anything.”
The Pittsburgh region is a hotbed of activity in robotics and AI. This activity includes research and technology companies that commercialize academic research and solve real world problems.
Being a competitive player in the aerospace and defense industry is no small feat. In an industry in which you need to be accountable for every piece of an assembly, meeting customer expectations and requirements can be daunting tasks.