AI is revolutionizing manufacturing with applications in predictive analytics and product development. Despite challenges ...

Jonathan Andrus, co-CEO of CRIO, discusses how governance across the data lifecycle, site-focused technology adoption, and scalable AI-enabled workflows will define operational readiness in 2026.

The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and computational power. But according to Sushant Mehta, a Senior Research Engineer at ...

For more than 25 years, my work has revolved around one guiding principle: quality. In the life sciences sector, safeguarding data integrity, compliance and ethical practices has never been optional.

In the past few years, edge artificial intelligence (AI) has moved beyond experimental pilots and into real deployments ...

Machine vision systems perform high-speed inspections with sub-millimeter precision, capturing images of every product for real-time AI analysis without fatigue or subjective judgment. Physical AI and ...

Manufacturers worldwide spend hundreds of billions of dollars annually on quality inspection, with estimates for quality-related costs reaching a trillion dollars when prevention, appraisal and cost ...

AI-supported image processing is therefore becoming an indispensable tool for automating inspection processes, efficiently ...

In the transition towards AI, officials said the key role will need to be played by MSMEs — over 76 million in number, of ...