selective epitaxy, process integration
Selective epitaxy grows crystalline semiconductor only on exposed silicon surfaces not on dielectrics.
1,106 technical terms and definitions
Selective epitaxy grows crystalline semiconductor only on exposed silicon surfaces not on dielectrics.
Epi grows only on exposed silicon not on oxide/nitride.
Preferentially remove one material.
Dynamically adjust receptive field.
Choose which knowledge to transfer.
Selective prediction abstains from answering when confidence is insufficient.
Choose when to abstain from prediction.
Solder specific areas.
Selective SSMs dynamically adjust state transitions based on input content.
Ratio of polish rates between different materials.
Ability to measure target in presence of interferences.
Ratio of etch rates between target material and underlying layer.
Self-consistency samples multiple reasoning paths, takes majority vote answer. Improves accuracy over single sample.
Self-distillation distills model to itself. Different views or augmentations. Regularization effect.
Self-hosting gives control over data and cost at scale. Requires ML ops expertise. Use for sensitive data.
Contacts aligned to spacers and gates.
Self-aligned contacts use spacers and selective etch to automatically align contact openings to gates.
Via aligning itself to metal lines.
Self-alignment improves models using their own generated critiques and revisions.
Model asks and answers sub-questions.
Self-attention ASR uses transformer architecture for speech recognition without recurrent connections.
Combine capsules with attention.
Self-attentive Hawkes processes combine transformer architectures with temporal point process likelihoods for scalable event sequence modeling.
Sample multiple reasoning paths and vote.
Self-consistency samples multiple reasoning paths selecting most consistent final answer.
Generate multiple reasoning paths and pick the most common answer.
Model identifies flaws in its output.
Self-critique prompts models to identify weaknesses in generated responses.
Model critiques its own outputs.
Distill model into itself.
Self-distillation uses model's own predictions as soft targets improving generalization.
Distill model into itself.
Ensemble predictions for consistency.
Model evaluates its own outputs.
Architectures designed for interpretability.
Use gates controlled by input.
Temperature rise due to buried oxide.
Self-heating in interconnects couples electrical and thermal effects influencing reliability.
Model temperature rise in device.
Self-inspection has operators check their own work immediately.
Generate instructions from model.
Self-Instruct generates training data by prompting models to create instructions and responses.
Self-monitoring tracks progress evaluating whether actions advance toward goals.
Self-paced learning automatically selects training samples based on current model capability starting with easier examples.
Let model select training order.
Model decides when and what to retrieve.
Self-RAG adaptively retrieves only when needed using learned retrieval decisions.
Model decides when it needs to retrieve documents vs generate from memory.
Iteratively improve generations.
Self-refine iteratively generates critiques and improvements without external feedback.