Thermal Crosstalk

Thermal crosstalk, the unwanted interaction of heat or signals between components in various systems, is a significant challenge across diverse fields, hindering performance and accuracy. Current research focuses on developing models and algorithms, including deep learning and physics-based approaches, to predict and mitigate crosstalk effects in diverse applications such as photonic integrated circuits, multi-core processors, and speech processing. Addressing thermal crosstalk is crucial for improving the efficiency and reliability of advanced technologies ranging from AI accelerators to quantum computing, enabling scalability and enhanced performance in these rapidly evolving domains.