c-sam, c-sam, failure analysis advanced
C-mode Scanning Acoustic Microscopy detects delamination and voids through ultrasonic reflections at material interfaces.
321 technical terms and definitions
C-mode Scanning Acoustic Microscopy detects delamination and voids through ultrasonic reflections at material interfaces.
C-mode acoustic microscopy.
Optimization-based attack finding minimal perturbations.
Cache eviction policies determine which entries to remove when storage fills.
Cache hit rate measures percentage of requests served from cache rather than recomputation.
Cache warming preloads frequently needed items improving initial response times.
Create 3D CAD models.
Separate class token attention.
Calibration ensures predicted probabilities match actual outcome frequencies.
Condition on edge detection.
Find correlated components.
Capability elicitation discovers full extent of model abilities through systematic testing.
Capacitive coupling voltage contrast detects open vias by applying AC signals and observing coupled voltage through capacitance.
Capacity planning in supply chain ensures manufacturing capability meets demand forecasts.
Capacity requirements planning details machine and labor needs for each operation in production schedule.
Networks with vector-valued capsules.
Carbon adsorption captures VOCs on activated carbon for subsequent regeneration or disposal.
Carbon capture technologies remove CO2 from emissions or atmosphere for storage or utilization.
Carbon footprint measures total greenhouse gas emissions from semiconductor manufacturing including energy use process gases and supply chain.
Carbon intensity expresses emissions per unit of output like kg CO2 per wafer.
Carbon neutrality achieves net-zero emissions by reducing direct emissions and offsetting remaining emissions through credits or removal.
Carbon offsets compensate for emissions by funding equivalent reductions elsewhere.
Cascade models process requests sequentially with increasingly powerful models.
Cascade click model assumes users examine results sequentially until finding satisfactory item.
Cascaded diffusion models progressively increase resolution through multiple stages.
Search legal precedents.
Explain by citing similar training examples.
Design catalysts for specific reactions.
Catalytic oxidizers use catalysts to enable VOC combustion at lower temperatures saving energy.
Severe forgetting during training.
When fine-tuning on new data causes the model to forget previously learned knowledge.
Category management groups similar materials for coordinated sourcing strategies and supplier relationships.
Heavy-tailed robust loss.
Standard left-to-right prediction.
Mask preventing attention to future tokens in autoregressive models.
Track causal paths through network.
Causality-Aware Walk aggregates information from temporal neighborhoods respecting causal constraints in dynamic graphs.
Convolutional Block Attention Module combines channel and spatial attention sequentially.
Convergent Cross Mapping infers causality in dynamical systems by testing whether manifold reconstructions from one variable can predict another.
Smooth version of ELU.
Measure representation similarity.
Certified fairness provides mathematical guarantees of equitable treatment.
Formal guarantees of robustness.
Formal guarantees that model predictions won't change within certain input perturbations.
Chain-of-thought prompting asks model to show reasoning steps. Improves accuracy on math, logic, and complex tasks.
Train models to reason step-by-step.
Encourage step-by-step reasoning.
Ask model to show reasoning steps before giving final answer.
Visual reasoning with explicit steps.
Chain-of-thought prompting requests step-by-step reasoning improving complex problem solving.