AI & Manufacturing

Australian health technology company Diag-Nose.io has secured $3 million in federal funding to advance local manufacturing and clinical validation of an artificial intelligence-powered diagnostic platform designed to improve treatment of respiratory disease.

Unplanned downtime costs Australian businesses an average of $349,000 AUD per hour, significantly surpassing the global average of $194,000 AUD. Despite this substantial financial impact, many manufacturers continue to rely on reactive maintenance strategies, leaving their operations vulnerable to unexpected disruptions.

Finalists have been announced for Australia’s first dedicated AI and robotics sprint, Propel-AIR, a national initiative aimed at fast-tracking emerging innovators in the field. 

Midsize companies in the global industrial manufacturing sector are facing a transformative era driven by automation and artificial intelligence (AI). As industry leaders recognise, these technologies are reshaping the very foundations of manufacturing processes and workforce dynamics.

Researchers at Edith Cowan University (ECU) are developing new methods to help machines better understand human emotions, by improving how artificial intelligence interprets facial expressions.

More Australian businesses are embracing artificial intelligence (AI) to enhance productivity and decision-making, according to the latest data released by the federal government.

Technology company Siemens has partnered with Sachsenmilch Leppersdorf GmbH to implement an artificial intelligence-powered predictive maintenance system at one of Europe’s most advanced milk processing plants. 

Brisbane-based medtech company Microbio is leveraging advanced manufacturing capabilities through a partnership with Queensland’s Advanced Robotics for Manufacturing (ARM) Hub to scale and globalise its rapid sepsis detection technology.

Four Charles Darwin University (CDU) Master of Data Science students have developed an Artificial Intelligence (AI) model capable of detecting and classifying road signs with more than 90 per cent accuracy, demonstrating the potential for AI to improve road safety and infrastructure monitoring.

According to a recent study by Oxford Economics, midsized companies in the industrial manufacturing sector are setting their eyes on ambitious growth targets. The research, authored in partnership with SAP, revealed that 38% of industry leaders have identified market expansion as their top priority.