How to Lead a New Team to Success
Miles had just been promoted to his first position at the director level after two short years of working for a large manufacturer in a complicated, heavily regulated industry.
Deep Learning With Light
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Photo by Rohan Makhecha on Unsplash
Ask a smart home device for the weather forecast, and it takes several seconds to respond.
Simplifying the Production of Lithium-ion Batteries
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The MIT spinout 24M Technologies uses fewer materials to make its batteries than conventional lithium-ion cells. Credit: Courtesy of 24M Technology, edited by MIT News
When it comes to battery innovations, much attention gets paid to potential new chemistries and materials. Often overlooked is the importance of production processes for bringing down costs.
Going from Being a Peer to Being Their Boss
One of the most awkward situations you can encounter in business is when someone goes from being a peer to being the boss. If you do a few things well, you can make the transition smoothly.
From Training to Inference: Creating a Neural Network for Image Recognition
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?
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.
What Is an Asset Management Policy?
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
In late spring 2022, the U.S.
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
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.