resolution, quality & reliability
Measurement resolution is smallest detectable change in measured quantity.
9,967 technical terms and definitions
Measurement resolution is smallest detectable change in measured quantity.
Smallest feature size that can be printed.
Smallest measurable difference.
Resonances in power distribution networks occur when inductive and capacitive elements create impedance peaks requiring damping.
Resonant frequencies in PDN occur where inductive and capacitive impedances cancel requiring damping.
Selective ionization for ultra-sensitive detection.
Enhanced scattering at absorption resonance.
Element-specific CD measurement.
Limit resource usage per team.
Respins repeat fabrication after tapeout to fix errors or improve design.
How to generate replies.
Response quality measures correctness helpfulness and safety of model outputs.
Model response as function of variables.
Optimize using fitted response surface.
Response time measures duration from problem detection to corrective action.
Guidelines for ethical AI development.
Responsible AI encompasses fairness, transparency, safety, privacy. Governance frameworks guide practice.
Responsible AI: fairness, transparency, accountability, safety. Governance ensures ethical development and use.
Sputtered material etched back by plasma for improved step coverage.
REST APIs use HTTP with JSON. Simple, ubiquitous. Good for web integration.
Subset of rules for better yield.
AI helps write resumes. Highlight achievements, ATS-friendly format.
Modify layout to meet manufacturability requirements.
Flip-flop that retains state during power-off.
Retention mechanism computes attention-like aggregation through recursive formulation.
Retention testing verifies memory preserves data over time detecting refresh issues.
Test again after rework.
Glass plate with circuit pattern for lithography exposure.
Procedures for moving and storing masks.
Number of wafer exposures before replacement.
Track and control mask inventory.
Another term for photomask.
Detect diseases from retinal images.
Retention mechanism for images.
Retentive Network uses retention mechanism for parallel training and efficient inference.
Retention mechanism for efficient parallel training and recurrent inference.
Retrieval augmentation supplements prompts with relevant information from knowledge bases.
General term for enhancing LLM outputs with retrieved external information.
Retrieval heads identify which retrieved documents were actually used.
Specialized attention head for deciding when to retrieve.
Time to retrieve documents.
Evaluate retrieval quality.
Retrieval precision measures fraction of retrieved documents that are relevant.
Retrieval recall measures fraction of relevant documents that are retrieved.
Queries processed per second.
Full RAG system.
Use retrieved documents to inform generation.
Select relevant examples from pool using similarity.
Parts of answer not requiring retrieval.
Alternate between retrieval and generation multiple times.