Technology is advancing at breathtaking speed, with our daily lives becoming more reliant on digital computing systems than ever. However, current systems do not yet possess the performance needed by modern applications, which require unprecedented computational power while placing stringent demands on energy efficiency, sustainability, and robustness.
To address these challenges, new materials are constantly being discovered and developed into novel devices and systems, enabling applications with more advanced features and capabilities every day. This translational research theme aims to create strategies and opportunities to accelerate innovation in sustainable and pervasive technologies required by society, through bringing together device technology and materials with systems and interfaces.
Immediate principal beneficiaries of new technology at the application (system) level include artificial intelligence (AI), machine learning (ML), microelectronics, robotics, edge computing, satellites, automotive, and process control; and at the device technology level, sensors, spintronics, multiferroics, 2D photon emitters, memristors, and graphene.
The theme’s aim is to bring “device thinking into systems research - systems thinking into device research.”
Devices
Spintronics
Multiferroics
Photon emitters
Magnetic materials
Graphene
Memristors
DNA
Silicon devices
Systems
Robotics
Microelectronics
ASIC
FPGA
Autonomous systems
Fault tolerance
Neuromorphic computing
Hardware acceleration
Devices and systems for sustainable societies
Intelligent robotics and autonomous systems
Adaptive fault tolerant robotic systems
Artificial intelligence and machine learning
Unconventional computing and computational substrates
Many core and distributed systems
Neuromorphic hardware and bio-inspired systems
On-device AI for autonomous 6G mobile communications
Ultra-massive MTC with deep, reinforcement learning
