INDUSTRIAL engineeringINCOME inequalityTECHNOLOGICAL innovationsBLOCKCHAINSARTIFICIAL intelligenceSOCIAL integrationMACHINE learning5G networksINTELLIGENT transportation systemsThe "Ubiquitous Wireless Intelligence" concept of 6G opens up a variety of technological innovation paths, some of which are...
Current applications of machine learning for industrial assets First, consider the application of ML technology for condition-based monitoring of industrial assets. ML has helped transition condition-based monitoring applications from an era of reactive and preventive maintenance to one of predictive mainten...
An unsupervised machine learning approach for ground-motion spectra clustering and selection Clustering analysis of sequence data continues to address many applications in engineering design, aided with the rapid growth of machine learning in appli... RB Bond,P Ren,JFSH Hajjar - 《Earthquake Engineeri...
on the distributed cluster. It helps model developers to focus on model arichtecture, without taking care of any engineering stuff, say, hardware acceleration, distributed running, etc. Now, it provides automated operation and maintenance for deep learning training jobs on K8s/Ray. Major features ...
Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the...
Through advanced mechanistic modeling and the generation of large high-quality datasets, machine learning is becoming an integral part of understanding and engineering living systems. Here we show that mechanistic and machine learning models can be combined to enable accurate genotype-to-phenotype predicti...
by combining ABB's digital solution expertise with IBM's artificial intelligence and machine learning. Spiesshofer said the collaboration will connect systems that collect data and also "use the data to sense, analyze, optimize and take actions," in what he called a "fourth industrial revolution....
• Deep understanding of data processing and preparation for use in ML • 2+ years of industrial experience in Deep Learning • Strong analytical skills • Creative and hands-on approach to problem-solving • Proficient communication skills in English (written and spoken) ...
There is a wealth of expertise, passion, and money pouring into climate tech as both startups and established industrial players seek to address one of the most important challenges facing humanity. Machine learning can be an important component in tech for addressing the climate crisis. Join PAW...
The results of even select actions can be substantial. For instance, Wayfair, an e-commerce company, was early to move its data to the cloud and use machine learning in multiple functions. During the COVID-19 crisis, as consumer demand changed rapidly across regions, th...