Many-core Spiking neural networks Heterogeneous computing Design Chiplet Computing resource In-Memory Computing Cloud computing Convolution Embedded application Test Quantum computing Automation Data privacy Fault tolerance System-on-chip Formal methods Complex networks Deep learning Fault detection Real time systems Computation theory Microarchitecture Latency Coq Memristor Embedded systems Mapping Model checking Time domain reflectometry Computer architecture Data flow analysis Spiking neural network Instrumentation Reconfigurable hardware Application programs Real-time systems Artificial intelligence Pipelines Privacy Encryption Approximation algorithm Real-time RRAM Random access storage Convolutional neural networks Clocks In-memory computing Reflectometry Compiler Homomorphic Encryption Computational modeling Optimization Benchmarking Energy utilization Algorithms Machine Learning Flip flop circuits Electron devices Confidentiality ECC Image processing Reliability Convolutional neural network 8T SRAM cell Data handling FPGA Reflectometers Energy efficiency Hardware Ho-momorphic encryptions Neural networks Cables Machine learning Artificial synapses C programming language Many-core architecture Continual learning Approximate computing Diagnosis Computer hardware Scheduling Wire Makespan Timing circuits Neural network Federated Learning Classification Neuromorphic computing Cryptography Time domain analysis Reflection Application specific integrated circuits Compilation Network architecture Parallel programming Neuromorphic circuits Cyber physical systems CPSs Parallel processing systems Program compilers