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29 Sept 2026
  1. • Identifying IoT attack surfaces & embedded vulnerabilities • The potential of machine learning for threat detection & response • Why 'secure-by-design' must be a foundational approach
  2. • Impacts on IP & design workflows • Smarter manufacturing processes • AI-driven optimisation from chip design to Edge AI deployment • Balancing innovation with cost and complexity • Ethical considerations with widespread implementation
  3. •AI-driven infrastructure demands •Energy efficiency at system level •Integration with edge ecosystems •Challenges of scaling: Costs, Power, Cooling
30 Sept 2026
  1. • Tackling the gender imbalance • Broadening the future talent pipeline • Upskilling & Reskilling • International collaboration / exchanges
  2. With the potential of AI to replace a large number of entry level jobs in Microelectronics, how do we bridge the gap to ensure development of new experts without starting at entry level?
  3. • Real-time monitoring & automation of mundane tasks • Enhanced energy management and savings • Increased home security through smart surveillance • Interoperability for smart appliances & connected devices
  4. • Embedded systems & edge AI for real-time urban monitoring & decision-making • Connecting transport, energy, & public services through digital infrastructure • Balancing innovation with data privacy, security, & regulation • Driving sustainability through smart grids & efficient resource management • Addressing interoperability across legacy & new technologies