Tag: artificial intelligence

Waste Robotics has announced a strategic partnership with Australian engineering company AE Gibson & Sons to deliver AI-powered waste sorting technologies across the country, with a strong focus on supporting local manufacturing and recycling operations.

Swisslog has expanded its automation portfolio with the launch of its IntraMove series of autonomous mobile robots (AMRs), designed for horizontal pallet transport of up to 3,000 kilograms.

Renowned strategist, economist, and futurist Professor Henrik von Scheel, widely credited as the originator of the 4th Industrial Revolution, will headline this year’s Industrial Transformation Australia – a HANNOVER MESSE event—in Sydney. 

Enterprise Resource Planning (ERP) systems have long been essential for managing critical business functions—finance, inventory, procurement, human resources, and manufacturing. With rapid advancements in technology, artificial intelligence (AI) is reimagining what’s possible.

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. 

Canberra-based software-defined instrumentation company Liquid Instruments has introduced what it describes as an industry-first approach to test and measurement, unveiling a new capability called Generative Instrumentation. 

Scientists at UNSW Sydney have used artificial intelligence to improve a method for producing green ammonia, achieving higher efficiency while reducing the need for extensive lab experiments.

Researchers at Arizona State University are working to enhance metal 3D printing processes through the development of artificial intelligence systems designed to improve the speed and reliability of producing critical components, including naval propellers. 

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.