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From Training to Inference: Creating a Neural Network for Image Recognition

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While traditional image processing software relies on task-specific algorithms, deep learning software uses a network to implement user-trained algorithms to recognize good and bad images or regions.

How Do You Make a Decision When Every Option Looks Bad?

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Patagonia, the sportswear brand, made headlines this summer when its founder and CEO, Yvon Chouinard, announced his intention to effectively give away the multibillion dollar business instead of selling it.

Teaching Computers to Read ‘Industry Lingo’

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(NIST: Gaithersburg, MD) -- Technical language processing, or TLP, involves using computers for capturing, understanding and translating jargon for other users.

Get Smarter About Electric Construction Equipment

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(CONEXPO-CON/AGG: Milwaukee) -- Sustainability in the construction industry is being advanced by the public and private sectors.

What Is an Asset Management Policy?

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Assets are resources owned and used by a company to generate a positive economic benefit. Assets can be physical items, like equipment or furniture, or they can be intangibles like software, patents, or documents.

ESG and Cybersecurity Compliance Are Every Employee’s Concern

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In late spring 2022, the U.S.

Teledyne Announces Ladybug6 Cameras

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(Teledyne FLIR: Richmond, BC, Canada) -- Teledyne FLIR Integrated Imaging Solutions presents its all-new Ladybug6, the latest addition to its field-proven Ladybug series.

Boss to Boss

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This is the final installment of a five-part series.

Deep Learning Makes X-ray CT Inspection of 3D-printed Parts Faster, More Accurate

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Credit: Brittany Cramer/ORNL, U.S. Department of Energy
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A new deep-learning framework developed at the U.S. Dept. of Energy’s Oak Ridge National Laboratory is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of the results.

VERIFI-ing and Tracking Carbon’s Big Footprint

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Photo by Dan Meyers on Unsplash
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(ORNL: Oak Ridge, TN) -- Researchers at Oak Ridge National Laboratory have developed an online tool that offers industrial plants an easier way to track and download information about their energy footprint and carbon emissions.

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