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Prepare for tomorrow at IMechE Focus: Digital and Emerging Technologies

Professional Engineering

Accelerate innovation, improve collaboration and deploy simulation-driven tools
Accelerate innovation, improve collaboration and deploy simulation-driven tools

The world is changing quicker than ever, and engineering is leading positive change while also protecting society from the most dangerous and destabilising trends. Digital tools and AI have a key role to play in both of those missions.

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Keep up to date with the latest advances and learn how to accelerate innovation at IMechE Focus: Digital and Emerging Technologies (12-15 October). The free webinar series will explore digital tools, modelling, automation, software reliability and the wider transformation shaping engineering roles and practice.

Topics include:

  • AI in engineering
  • Digitalisation of the electricity system
  • Multi-physics engineering simulations
  • Energy-efficient cooling technologies
  • Digital engineering in action at Comsol
  • Cyber-security integration in rail

Register to:

  • Accelerate innovation, improve collaboration and deploy simulation-driven tools that empower your organisation to make faster, more confident engineering decisions
  • Gain practical insight into desk-side agentic AI and ‘tokenomics’, and how they help teams build, govern and scale AI with better control over performance and security
  • Explore how physics-based modelling and scaling approaches can improve confidence in predictive simulation by enabling the reliable transfer of information between reduced-scale models and full-scale systems
  • Assess the gap between what generative and agentic AI can do in engineering environments today, and what is actually being deployed on the ground across rail, manufacturing, aerospace and energy
  • Consider what digitalisation is, why we need it and what it enables in the wider electricity system
  • Discuss the challenges faced by railway projects and asset owners regarding cyber security operational integration
  • Improve early wear detection and machinery condition monitoring with digital tribology, including advanced modelling techniques and high-level strategies for how AI can be applied successfully
  • Find out how real-world pilot demonstrations in commercial buildings and hot climates illustrate how intelligent, AI-enabled cooling can reduce carbon emissions, strengthen energy resilience and deliver sustainable thermal comfort, helping cool the world without heating the planet.

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Content published by Professional Engineering does not necessarily represent the views of the Institution of Mechanical Engineers.

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