Devices and systems
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.”
- Spintronics
- Multiferroics
- Photon emitters
- Magnetic materials
- Graphene
- Memristors
- DNA
- Silicon devices
- 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
- 6G and beyond communication systems and devices
- Devices from novel materials
- Low-power devices and computing
- Data Storage.