Topic: manufacturing

This webinar introduces supervised, unsupervised and reinforcement learning, then connects those methods to applications beyond conversational language models. Simple examples explain how machine learning and deep learning work and where they can support practical decisions in manufacturing, smart farming, healthcare, gastronomy and tourism. The session includes an introduction to AI Factory Austria, a presentation of the methods and application scenarios, and a concluding discussion. It is delivered in English for beginners; previous technical or AI knowledge is not required. The webinar is f

Research will address the transition from newly developed technologies to repeatable, cost-effective manufacturing in aerospace and automotive industries. Topics include materials and process scale-up, robotics, AI-enabled assembly, simulation, electrification and integrated manufacturing systems. Projects must involve industrial partners, access realistic manufacturing environments and secure matching non-public contributions. Small projects may last up to two years with full economic costs up to £600,000; large projects may last up to four years at £4.5–5.8 million full economic cost. UKRI p

Build a national research and innovation network connecting manufacturing researchers, industry, supply chains and investors. The initial 12-month scoping phase will map capability, benchmark activity and develop a roadmap, followed by 48 months of network work. Activities include knowledge exchange, brokerage, a national event and flexible funding for feasibility studies and early research on scale-up barriers. The focus is aerospace and automotive, with wider relevance to batteries, space and advanced materials. UKRI contributes £4.5 million at 80% of full economic cost. The mandatory intent

Develop industrial robots for manufacturing, including welding, bonding, drilling and manipulation. The work combines robot control and motion planning with sensor integration, metrology and automated data collection, and includes experiments to improve accuracy and process quality.

Rajesh Menon discusses research combining optical systems with nanofabrication. The episode explores holographic lithography and how coordinated advances in light-based methods and fabrication can support new three-dimensional manufacturing technologies.

Irene Rombel discusses how artificial intelligence and machine learning can address bottlenecks, quality issues, and production costs in cell, gene, and RNA therapy manufacturing. The seminar focuses on real-world process-development applications that improve reproducibility, speed, and cost effectiveness.