Hardware Environment

Hardware environments are crucial for realizing the potential of advanced algorithms, particularly in artificial intelligence and robotics. Current research focuses on optimizing hardware for specific model architectures, such as spiking neural networks and transformers, often employing co-design approaches that integrate hardware and software development for improved efficiency and robustness. This work is significant because it addresses critical challenges in deploying AI systems, including energy consumption, latency, security, and the need for reliable and adaptable hardware for diverse applications ranging from autonomous vehicles to scientific instrumentation.