AI Factory Glossary

fashion design,content creation

AI-assisted clothing design.

fast adversarial training, ai safety

Efficient adversarial training.

fast corner, design & verification

Fast corner combines process voltage and temperature conditions maximizing transistor speed.

fast geometric ensembling (fge),fast geometric ensembling,fge,machine learning

Collect models along training trajectory.

fast-fast (ff) corner,design

Fast process high voltage low temperature.

fast-slow (fs) corner,design

nFET fast pFET slow.

fastai,practical,pytorch

fastai is practical deep learning library. Built on PyTorch.

fastapi,python,modern

FastAPI is modern Python web framework. Async, type hints, auto docs. Great for ML APIs.

fastspeech, audio & speech

FastSpeech generates mel-spectrograms in parallel using length regulators and duration predictors for fast and controllable speech synthesis.

fastspeech2, audio & speech

FastSpeech 2 adds variance adaptors for pitch energy and duration prediction enabling more expressive and accurate speech synthesis.

fat-tree topology, infrastructure

Common datacenter network topology.

fault coverage, advanced test & probe

Fault coverage quantifies percentage of possible defect types detected by test patterns or program.

fault coverage,testing

Percentage of possible defects detectable by test.

fault detection classification, manufacturing operations

Fault detection and classification identifies and categorizes equipment abnormalities.

fault isolation, yield enhancement

Fault isolation traces failures to root causes using physical analysis correlated with test results.

fault localization,code ai

Pinpoint error-causing statements.

fault tolerance in training, infrastructure

Continue despite failures.

fault tolerance, manufacturing operations

Fault tolerance enables systems to continue functioning despite component failures.

fault tolerance,reliability

Continue operating despite component failures.

fault tree analysis, fta, reliability

Top-down failure analysis.

fault tree analysis,reliability

Analyze failure causes.

fault-tolerant quantum computing, quantum ai

Quantum computing with error correction.

fbnet, neural architecture search

FBNet uses differentiable NAS with hardware-aware latency loss to discover efficient architectures optimized for specific mobile devices.

fcanet, computer vision

Attention in frequency domain.

fci algorithm, fci, time series models

Fast Causal Inference algorithm discovers causal graphs allowing for hidden confounders.

fd-soi (fully depleted soi),fd-soi,fully depleted soi,technology

Thin body that fully depletes.

fd-soi (fully-depleted soi),fd-soi,fully-depleted soi,technology

Ultra-thin SOI with fully depleted channel.

fdc (fault detection and classification),fdc,fault detection and classification,process

Monitor tool sensors to detect and diagnose faults.

fea thermal, fea, thermal management

Finite Element Analysis for thermal problems discretizes geometry solving heat conduction equations with boundary conditions.

feature attribution in transformers, explainable ai

Identify important features.

feature engineering for materials, materials science

Create descriptive features for materials.

feature engineering,transform,create

Feature engineering creates informative features. Domain knowledge.

feature envy, code ai

Method using another class's data.

feature extraction, transfer learning

Use pre-trained model as feature extractor.

feature flag,software engineering

Toggle features on/off without redeployment.

feature flag,toggle,experiment

Feature flags enable/disable features without deploy. A/B test new models, roll back instantly if issues.

feature learning regime, theory

Networks significantly change during training.

feature matching distillation, model compression

Match intermediate feature distributions.

feature pyramid from vit, computer vision

Extract multi-scale features.

feature selection,importance,reduce

Feature selection removes unimportant features. Reduce overfitting.

feature store,feast,ml features

Feature stores manage ML features: versioning, serving, consistency between training and inference.

feature store,mlops

Centralized repository for storing and serving ML features.

feature visualization in language models, explainable ai

Visualize what features detect.

feature visualization, explainable ai

Synthesize inputs maximizing neuron activation.

feature visualization, interpretability

Feature visualization generates input patterns maximally activating specific neurons revealing learned features.

feature-scale simulation,simulation

Simulate individual feature evolution.

federated averaging, federated learning

Average local models in federated learning.

federated edge learning, edge ai

Federated learning at edge.

federated learning poisoning, ai safety

Poison in federated setting.

federated learning, training techniques

Federated learning trains models across decentralized devices without centralizing data.