AI Factory Glossary

drug discovery with ai,healthcare ai

Use ML to discover new drugs.

drug-drug interaction extraction, healthcare ai

Identify medication interactions.

drug-target interaction prediction, healthcare ai

Predict binding between drugs and proteins.

drum-buffer-rope, supply chain & logistics

Drum-buffer-rope scheduling synchronizes production flow with bottleneck pace using time buffers.

dry oxidation,diffusion

Grow oxide in pure O2 slow dense oxide.

dry processing, environmental & sustainability

Dry processing eliminates liquid chemicals using vapor plasma or laser techniques reducing waste.

dry sampling, dry, llm optimization

Don't Repeat Yourself sampling penalizes recently seen sequences adaptively.

dual source, supply chain & logistics

Dual sourcing qualifies multiple suppliers for critical materials reducing supply chain risk through redundancy and competitive pricing.

dual-channel hin, graph neural networks

Dual-channel heterogeneous information networks process structure and semantics separately then combine.

duane model, business & standards

Duane model represents reliability growth as power law relating failures to test time.

duane model, reliability

Reliability growth model.

due diligence automation,legal ai

Automate M&A due diligence.

duet ai,google cloud,assistant

Duet AI is Google Cloud assistant. Coding, cloud operations.

duplicate code detection, code ai

Find copy-pasted code.

duplicate token heads, explainable ai

Identify repeated tokens.

dye penetration, failure analysis advanced

Dye penetration uses colored fluids to reveal package cracks delamination and moisture ingress paths.

dynamic architecture, neural architecture

Network structure adapts during inference.

dynamic batching, llm optimization

Dynamic batching forms groups from arriving requests without waiting for fixed batch sizes.

dynamic depth networks, neural architecture

Vary number of layers per input.

dynamic factor model, time series models

Dynamic factor models represent multivariate time series as driven by smaller number of unobserved dynamic factors.

dynamic graph neural networks,graph neural networks

Handle evolving graph structures.

dynamic inference, model optimization

Dynamic inference adapts computation per input using early exit or conditional execution.

dynamic linear model, time series models

Dynamic Linear Models represent time series through observation and system equations with Gaussian distributions.

dynamic nerf, multimodal ai

Dynamic NeRF models time-varying scenes with deformation or flow fields.

dynamic neural networks, neural architecture

Networks that adapt structure at runtime.

dynamic precision, model optimization

Dynamic precision adapts numeric precision based on training phase or layer requirements.

dynamic pruning, model optimization

Dynamic pruning adapts sparsity patterns during inference based on input characteristics.

dynamic quantization,model optimization

Determine quantization at runtime.

dynamic resolution networks, neural architecture

Process different input resolutions.

dynamic routing,neural architecture

Route information between capsules.

dynamic sparse training,model training

Train sparse networks from scratch.

dynamic width networks, neural architecture

Vary channel count per input.

dyrep, graph neural networks

DyRep models dynamic graphs through temporal point processes and representation learning with self-attention.

dysat, graph neural networks

Dynamic Self-Attention Network uses structural and temporal self-attention to learn node representations in dynamic graphs with evolving topologies.