Synthetic imagery sets new bar in AI training efficiency

By Rachel Gordon, contributing writer for

Data is the new soil, and in this fertile new ground, MIT researchers are planting more than just pixels. By using synthetic images to train machine learning models, a team of scientists recently surpassed results obtained from traditional “real-image” training methods.


How machine learning helps perfect welder skill

By Charles Caristan, contributing writer for

When it comes to artificial intelligence (AI) and its subset, machine learning, many in the metal fabrication industry see them being applied only in a distant future. That is not necessarily so. Ever since the mass production revolution in the early 20th century and the subsequent invention of computer and data storage devices, manufacturers have collected data and processed it into actionable information. From this came statistical process control and Taguchi methodologies, which evolved into new ways of processing data through design of experiment and broadened manufacturing perspectives on quality on both the business and operational sides of the enterprise.


Unleashing financial insights: The power of data analytics

By Bilal Surahyo, contributing writer for

In today’s rapidly evolving financial landscape, the ability to harness data for actionable insights is no longer a luxury but a necessity. Data analytics, the process of examining large data sets to uncover valuable information, has become an indispensable tool for financial institutions and professionals.


How AI can scale data analytics

By Giridhar Valmati, contributing writer for

Discover how AI revolutionizes analytics, from automated documentation to dynamic data visualization, boosting efficiency, reducing errors, and empowering data-driven decisions in today’s data-centric world, says Giridhar Valmati, senior manager – analytics & data science, Merkle.


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