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Using causal AI to amplify sustainability in the textile industry
With the textile industry facing mounting scrutiny over the environmental impacts of fast fashion, two researchers from ...
As cities like Philadelphia strive to meet ambitious greenhouse gas reduction goals, predicting how zoning and development decisions will impact building energy use and emissions is a major challenge.
The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.
While Industry 4.0 focuses on automation and cyber-physical systems, Industry 5.0 introduces a new framework based on ...
Data constantly changes. For instance, the name of the current German Chancellor can change faster than expected. Machine learning models must adapt to new knowledge and continually improve their ...
This review shows that machine learning enables early disease diagnosis, automates selective tea-bud harvesting, evaluates sensory quality using multi-sensor fusion, and predicts yields with higher ...
Mark Biagi is pioneering digitalization and sustainable practices. As senior director for Energy Industry Solutions at Bentley Systems, he drives digital transformation by leveraging advanced ...
Mastercam's Jesse Trinque helps us learn how computer-aided manufacturing (CAM) software boosts operational efficiency and contributes to environmental sustainability. Computer-aided manufacturing ...
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