Beschrijving
Without a doubt, we are still many orders of magnitude away from reaching the incredible efficiency, speed, and intelligence found in natural brains with our modern computing architectures. Moreover, our traditional computing systems are now hitting hard limits, such as the memory wall and the end of Dennard scaling (i.e., the performance per watt increase has slowed significantly). For these reasons, many scientists worldwide are researching new computing architectures inspired by the brain. In this regard, neuromorphic computing is among the most promising approaches for achieving energy-efficient hardware systems for real-time signal processing. Thus, it has the potential to enable several edge artificial intelligence tasks. In this approach, brain computation is mimicked at the circuit level, employing event-driven and massively parallel spiking neural networks directly implemented at the hardware level.During this talk, I will present the computing paradigm of spiking neural networks and illustrate novel training algorithms and digital computing architectures based on ultra-low-power and massively parallel implementations of neurons and synapse circuits. Finally, I will showcase a few prototype devices that can meet extreme-edge applications' strict energy and cost reduction constraints on the Internet of Things and for biomedical signal processing applications.
| Periode | 7 feb. 2023 |
|---|---|
| Evenementstitel | WIC Mid-winter meeting 2023: Embedded AI: enabling technologies and appealing applications |
| Evenementstype | Congres |
| Locatie | Eindhoven, NederlandToon op kaart |
| Mate van erkenning | Internationaal |