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