Tag: artificial intelligence

Global materials and technology company Asahi Kasei is developing a new photosensitive film designed to streamline advanced panel-level packaging for semiconductors.

CSIRO has launched new artificial intelligence infrastructure designed to bring high-performance computing closer to where data is generated, supporting real-time learning for robots and other physical AI systems as demand grows for faster, on-site processing.

Artificial intelligence could play a decisive role in lifting Australia’s future living standards, but only if the country takes a strategic approach to investment and control, according to the UNSW AI Institute.

The Federal Government’s 2026-27 Budget has drawn a mixed response from industry, research and engineering groups, with stakeholders broadly welcoming continued support for manufacturing, research and innovation while raising concerns about energy costs, skills shortages and the pace of reform.

Australian manufacturing and innovation capabilities are set to benefit from a new round of international research funding, with $6.2 million awarded under the Global Science & Technology Diplomacy Fund – Strategic Element.

Vehicle manufacturer Dallara Group and IBM have announced a collaboration aimed at transforming vehicle design through the use of AI and exploring quantum computing.

Infios has announced a new set of artificial intelligence capabilities aimed at advancing what it describes as “intelligent supply chain execution,” with the company positioning the tools as a way to enable real-time, automated decision-making across operational workflows.

Cognex Corporation has launched the In-Sight® 6900 Vision Controller, a new system aimed at expanding the use of artificial intelligence in manufacturing inspection and automation. 

Researchers at the University of New South Wales (UNSW) have developed an artificial intelligence-assisted workflow aimed at accelerating the discovery of next-generation semiconductor materials by replacing traditional trial-and-error methods with a targeted, data-driven approach, according to UNSW.

The next wave of automation is being shaped by agentic AI and the orchestration of multiple AI models across systems, data sources, and business environments.