debonding, advanced packaging
Separate temporarily bonded wafers.
656 technical terms and definitions
Separate temporarily bonded wafers.
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Decoupling capacitor placement optimization minimizes impedance across frequency range through strategic positioning.
Decoupling capacitors provide local charge reservoirs near circuits supplying transient currents and reducing supply voltage fluctuations.
Remove package to access die for FA.
Approximate neural network with tree.
Decision trees split on features. Random forests ensemble trees.
Use decision trees to identify failure causes.
Decoder-only transformers (GPT-style) generate left-to-right. Causal masking prevents seeing future tokens.
Architecture with only decoder blocks (GPT for generation).
Decomposed prompting breaks complex tasks into manageable subtasks.
Split complex task into modular sub-tasks.
Explicitly decompose complex tasks.
Break complex problems into steps.
Reconstruct inputs from features.
On-die caps to stabilize power supply.
Early failures declining.
Dedication restricts specific equipment to particular products or processes.
Synthesize from formal specifications.
Derive conclusions from general principles.
Deduplication removes repeated text from training data. Near-duplicate detection. Improves data quality and efficiency.
Neural network extension of CCA.
Neural network with CORAL loss.
Ensemble of independently trained neural networks.
Learn Koopman representations with deep learning.
CNN for automated defect categorization.
Measure trap levels.
Deep well for isolation.
High-aspect-ratio etching for TSV.
Deep trench capacitors provide high-density decoupling through vertical structures in substrate.
Learn odometry with deep networks.
Techniques for training 50+ layer ViTs.
Deep Voice 2 adds multi-speaker capability to fully convolutional TTS through speaker embeddings.
Deep Voice 3 adopts attention-based sequence-to-sequence architecture with fully convolutional layers for TTS.
Deep Voice is a fully convolutional text-to-speech system replacing recurrent layers with gated convolutions for efficiency.
DeepAR is an autoregressive recurrent network that learns probabilistic forecasts across multiple related time series using Monte Carlo sampling.
DeepEval provides unit tests for LLMs. Assert on metrics. CI integration.
Identify AI-generated or manipulated media.
Deepfakes are AI-generated fake videos. Detection is arms race. Authenticity verification important.
DeepFM combines factorization machines with deep neural networks for end-to-end learning of low and high-order feature interactions.
Find minimal perturbation to decision boundary.
DeepFool finds minimal perturbations pushing inputs across decision boundaries.
Decompose predictions to input features.
DeepLIFT compares neuron activations to reference activations assigning importance scores.
Learn operators from data.
Learn continuous SDF.
DeepSeek offers strong coding models. DeepSeek-Coder competitive with GPT-4.
Microsoft's training optimization library.
Microsoft's library for efficient LLM serving.
Random walk-based graph embeddings.