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MxD Secures $8.5 Million in 2021 Defense Appropriations Legislation

With the passage of the fiscal year 2021 Consolidated Appropriations Act at the end of 2020, MxD, the national digital manufacturing institute, secured $8.5 million in funding from the U.S. Department of Defense for 5G for manufacturing and cybersecurity for arsenal supply chains.

Digitalization of Connected Care

A cultural shift is occurring within the healthcare industry, radically transforming the way we view medical needs. Technology is driving this alteration as a transformative enabler to meeting the patient’s healthcare priorities through pioneering technological methods.

DoD Set to Award $10 Million to DMDII

The U.S. Department of Defense (DoD) is set to award $10 million in funding this year to the Digital Manufacturing and Design Innovation Institute (DMDII) here, UI Labs CEO Caralynn Nowinski Collens, said this morning. UI Labs is DMDII’s parent organization.

Tool Presetters Take On Industry 4.0

For machine shops in a competitive global marketplace, keeping spindles running and making product is the only way to stay in business. Still, adding a new piece of equipment, even with the promise of improving the efficiency of your existing ones, may be a difficult sell to management.

Manufacturing and AI: Promises and Pitfalls

We all know the buzzwords circulating around digital data and the factory. You have heard them—Industry 4.0, smart factories, data analytics, and artificial intelligence (AI). The question we all have is how will this impact workers in the long term? What do these terms really mean? Nevertheless, both traditional software suppliers and makers of advanced manufacturing equipment are offering digital solutions.

Laser Scanners Demand Attention as Technology Improves

Metrology-grade laser scanners are expanding their range of applications. New users are finding the main attractions of laser scanners—speed and ease of use. What prevented more widespread use in the past were laser scanners’ perceived tradeoffs. Using one usually meant sacrificing accuracy or working with noisy data.