How AI Can Make Us Greener
Manufacturing, Sustainability And Profitability: How Deep Learning Can Improve our Environmental Impact This article was originally published on Forbes In
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Author: maxversace
SDIAFest 2022
Super happy to have talked to more than 500 students at SDIA fest 2022, which took place in my own
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Homecoming: University of Trieste, 2022
Excited to visit my beloved Università degli Studi di Trieste at the 2022 Homecoming event (Dec 14th, Trieste)
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How Deep Learning and Vision AI are revitalizing Manufacturing
Neurala presents at VISION 2022 in Stuttgart. In the talk, Neurala’s CEO Max Versace talks about the state-of-the-art in AI
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Utilizing Vision AI in Manufacturing
In the fourth of our series of A3 interviews with AI leaders, Max Versace, CEO of Neurala, discusses how integrating deep learning into a facility can benefit the manufacturing industry. Versace, who sits on A3’s Artificial Intelligence Technology Strategy Board, recommends a successful proof-of-concept as a starting point. Check out his advice and case study on using vision AI on reducing error and increasing efficiency on the product line.
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Towards flawless AI-powered Manufacturing
Artificial Intelligence, Automation and robotics can help people to build a more sustainable and human centric world. In this video
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How Deep Learning and Vision AI are Turning the Tables on Manufacturing
53 articles This is a recorded talk given at Automate 2022, Detroit, June 7, 2022, for Neurala. The manufacturing world
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“Dubito, ergo cogito, ergo sum”, said AI
I doubt, therefore I think, therefore I am – a step forward for AI It’s Monday morning, and Paul opens
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AI-Based Detector Solution Improves Quality Inspection
Originally appeared on TechXchange – by Alix Paultre Neurala’s detection solution can ensure the correct number of parts are in any
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Manufacturing is Getting ‘Futurized’ with Artificial Intelligence
Two forces in manufacturing are converging: 1) the need to bring more automation into the system during a time when workers are becoming scarce, and 2) advances in automation tools that do not require original programming. As these forces converge, manufacturers may have the opportunity to improve their production methods at the same time they address labor shortages.
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