
ARM TrustZone for TEEs, opportunities and challenges
How can you protect sensitive data and algorithms on untrusted devices? An analysis of Arm TrustZone as a trusted execution environment, with its use cases, opportunities and challenges.
Deployment, orchestration and sandboxing of software and AI, from cloud to edge and IoT devices.
Confidential computing, software supply-chain transparency and compliance for software and AI.
Network intrusion detection systems (IDS): end-to-end, real-time detection and prediction of attacks on real-world network traffic.
Scalable data and AI pipelines and data sharing across organisations, from linked data to data spaces.
Low-latency streaming, volumetric video conferencing and multi-user extended reality.
Game design for education and healthcare, with personalised serious games and gamification.

