In the global hygiene manufacturing industry, setting up or expanding a wet wipes production facility requires a critical capital allocation decision. Investors and plant managers consistently face a ...

Sight Machine Inc., the leading industrial AI platform, today launched a fundamentally new version of its platform, changing how manufacturers work with AI and dramatically accelerating its impact.

The manufacturing process is a complex one that can be impacted by many factors: supplies, equipment, factory overhead, the need for special parts, and the people who work at all points in the process ...

Successful additive manufacturing involves the optimisation of numerous process parameters that significantly influence product quality and manufacturing success. One commonly used criteria based on a ...

Additive manufacturing (AM) provides agile and flexible manufacturing in modern supply chains; however, there are concerns that AM may be vulnerable to inferior materials, poor process control, or ...

For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...

In recent years, significant advancements in ML have influenced several fields beyond computer science, including autonomous driving, structural color design, medicine, and face recognition. The ...

50% of companies that embrace AI over the next five to seven years have the potential to double their cash flow with manufacturing leading all industries due to its heavy reliance on data according to ...

Manufacturing is a fast-paced industry where success is dependent on timing and quality. That’s why it is crucial to constantly monitor every stage of the production process. Defining and tracking key ...

Companies worldwide are investing in artificial intelligence (AI) and machine learning to drive business growth. While adoption has expanded across many industries, manufacturing has emerged as a ...

Improving semiconductor manufacturing yields up to 30%, reducing scrap rates, and optimizing fab operations is achievable with machine learning. Reducing supply chain forecasting errors by 50% and ...