u chart, spc
Defects per unit.
92 technical terms and definitions
Defects per unit.
Architecture for diffusion models.
U-shaped cells position equipment in U-configuration enabling operator flexibility and communication.
Universal Chiplet Interconnect Express provides standard interface for chiplet communication.
Consistency with strong augmentation.
Transfer learning method for NLP.
Even more efficient than HEPA removes 99.999% of particles.
Tiled upscaling method.
k < 2.5 dielectrics.
Advanced FD-SOI with thin BOX.
Ultralytics provides YOLOv8 and HUB. Easy object detection. Training and export.
Ultrasonic testing detects internal flaws leaks or thickness changes through sound wave analysis.
Measure valence band and work function.
Sample along reaction coordinate.
HAST without electrical bias.
Unbiased learning to rank estimates relevance from biased click data using inverse propensity scoring or doubly robust estimators.
Breakdown of uncertainty sources.
Uncertainty quantification estimates model confidence in predictions.
Estimate confidence in predictions.
Abstain based on uncertainty estimates.
Uncertainty quantification distinguishes epistemic (model) from aleatoric (data) uncertainty. Know when to abstain.
Remove common examples.
Particles in underfill.
Material reducing CTE mismatch effects.
Material filling gaps around TSV.
Fill gap under flip-chip.
Trapped air in underfill.
Epoxy material filling gap between die and substrate for reliability.
Undersampling removes majority class examples. Balance classes.
Undershoot is signal excursion below ground or supply during transitions potentially causing latchup.
Insufficient training.
Standardize Unicode representations.
Each token only attends to previous tokens (GPT-style).
Shared memory space CPU-GPU.
Models handling multiple vision-language tasks.
Thickness variation across wafer.
Probabilistic tokenization.
Unified predictor-corrector sampler.
Inputs that reliably cause unwanted behavior.
Universal adversarial perturbations cause misclassification across multiple inputs with single perturbation.
Standard for chiplet interconnection.
Handle target classes not in source.
Recurrent depth with adaptive computation.
Generalize across goals.
Universal value functions generalize across goals and states simultaneously enabling transfer and multi-task learning.
Switch between widths seamlessly.
Universal Neural Vocoder uses multi-resolution spectrogram discriminators for high-fidelity speech synthesis.
Unknown/out-of-vocabulary token.
Remove specific knowledge or capabilities from a trained model.
Machine unlearning removes specific knowledge from trained models. Privacy, copyright, safety applications.