explainable ai for fab, data analysis
Interpret ML model decisions.
9,967 technical terms and definitions
Interpret ML model decisions.
Provide reasons for recommendations.
Explanation generation in recommendations provides users with interpretable reasons for why items were suggested.
Show each reasoning step transparently.
Balance trying new actions vs using best known.
Exploration-exploitation balance in recommendations trades off exploiting known preferences versus discovering new interests.
Exponential backoff increases delay between retry attempts preventing thundering herd.
Constant failure rate model.
Track smoothed model weights.
Exponential smoothing forecasts by weighted averaging past observations with exponentially decreasing weights for older data.
Statistical method for drift detection.
Exponentially weighted moving average gives more weight to recent observations in control.
Thermal pad on package bottom.
Exposure bias in recommendation systems occurs when models train on biased interaction data creating feedback loops that amplify popularity.
Exposure debiasing corrects for position bias in recommendations by modeling how item placement affects user interactions.
Acceptable dose range.
Express is minimal Node.js web framework. JavaScript APIs. Large ecosystem.
Molecular fingerprints.
Line or planar defects.
Extended Kalman Filter linearizes nonlinear dynamics locally enabling state estimation in nonlinear systems.
Extended producer responsibility obligates manufacturers to manage product end-of-life.
Costs from defects at customer.
External setup activities can be performed while equipment runs on previous job.
EXTEST boundary scan instruction enables testing of off-chip circuitry and board-level interconnections through boundary scan cells.
Extract structured info from text. Names, dates, facts.
k approaching 2.0.
Use polysilicon or damage at backside.
Doped semiconductor.
Eye diagrams overlay multiple signal transitions revealing timing margins jitter and noise in high-speed serial communication links.
Eyring model generalizes acceleration relationships for multiple stress factors.
F-tests compare variances or test overall model significance in ANOVA.
F1 score harmonically combines precision and recall.
Harmonic mean of precision and recall.
Capital expenditure for building and equipping semiconductor fabs.
Fab costs include construction equipment and startup expenses for manufacturing facilities.
Fab-lite companies maintain limited internal manufacturing while outsourcing some production.
Use metrology data across all tools to maintain process targets.
Fabless companies design semiconductors outsourcing manufacturing to foundries.
Design without manufacturing.
Separation of design and manufacturing.
Company that designs chips but outsources manufacturing.
Face recognition matches faces to identities. Deep embeddings. Privacy and bias considerations.
Enhance face quality.
Face Vid2Vid synthesizes photo-realistic talking head videos from audio and sparse keypoints.
Facility water systems provide cooling for building infrastructure.
Fact tracing localizes where specific knowledge is stored and retrieved in language models.
Check factual accuracy.
Check generated claims against retrieved documents or knowledge bases.
Verify truthfulness of claims.
Generate text stating specific facts.