dual-beam fib-sem,metrology
Combined FIB and SEM system.
656 technical terms and definitions
Combined FIB and SEM system.
Dual-channel heterogeneous information networks process structure and semantics separately then combine.
Dual-Path RNN processes both local and global temporal contexts for speech separation.
Different stress for nFET and pFET.
Duane model represents reliability growth as power law relating failures to test time.
Reliability growth model.
Automate M&A due diligence.
Separate value and advantage streams.
Duet AI is Google Cloud assistant. Coding, cloud operations.
Dummy gates are sacrificial structures replaced after high-temperature processing enabling metal gate integration.
Temporary gate replaced later.
Blank wafer used to fill chamber or stabilize process.
QA with paraphrased passages.
DuoRec combines contrastive learning with model augmentation for robust sequential recommendation.
Find copy-pasted code.
Identify repeated tokens.
Device Under Test boards interface between test equipment and probe cards providing signal routing and conditioning.
Lithography using 193nm or 248nm wavelength.
Git for data and models.
DVC versions data and models alongside code. Git-like for ML. Data pipelines.
Event-based camera sensor.
Dye penetration uses colored fluids to reveal package cracks delamination and moisture ingress paths.
Dyna-Q integrates learning planning and acting by using learned models to generate simulated experience for value function updates.
Analyze code during execution.
Network structure adapts during inference.
Dynamic batching forms groups from arriving requests without waiting for fixed batch sizes.
Vary conditions during burn-in.
Change limits based on conditions.
Aggregate multiple kernels dynamically.
Vary number of layers per input.
Adjust priorities in real-time.
Dynamic factor models represent multivariate time series as driven by smaller number of unobserved dynamic factors.
Handle evolving graph structures.
Dynamic inference adapts computation per input using early exit or conditional execution.
Dynamic IR drop results from transient current surges during switching causing voltage fluctuations that affect timing and functionality.
Incorporate new information.
Dynamic Linear Models represent time series through observation and system equations with Gaussian distributions.
Adjust loss scale during training.
Change masked tokens each epoch.
Dynamic NeRF models time-varying scenes with deformation or flow fields.
Networks that adapt structure at runtime.
Dynamic precision adapts numeric precision based on training phase or layer requirements.
Dynamic pruning adapts sparsity patterns during inference based on input characteristics.
Determine quantization at runtime.
Range from detection limit to saturation.
Process different input resolutions.
Route information between capsules.
Reconstruct moving scenes.
Use ion bombardment for depth profile.
SLAM in environments with moving objects.