EXPLORE / 06

Terms index

Specialized AI and software-development terms with concise explanations

RECORDS

Entity records

3371 records · 42/85

  1. 1641

    Meta-GGA

    An exchange-correlation functional level that introduces kinetic energy density as an additional variable on top of GGA.

    Website pending
  2. 1642

    Density Functional Theory (DFT)

    A quantum mechanical method used to investigate the electronic structure of many-body systems based on electron density rather than wavefunctions.

    Website pending
  3. 1643

    Whole Slide Imaging

    The digitization of high-resolution glass pathology slides for digital analysis.

    Website pending
  4. 1644

    Mobile Manipulation

    The capability of robots to perform manipulation tasks like grasping while moving

    Website pending
  5. 1645

    Zero-shot Transfer

    The ability of a model to perform a new task without having seen specific data for that task during training.

    Website pending
  6. 1646

    Retrosynthesis

    A method for planning chemical synthesis by working backward from a target molecule to precursor molecules.

    Website pending
  7. 1647

    Inference Offloading

    Technique shifting compute-intensive AI inference tasks from local devices to edge or cloud servers

    Website pending
  8. 1648

    Dry-Wet Lab Loop

    An iterative R&D process combining computational simulation (dry lab) with physical laboratory testing (wet lab).

    Website pending
  9. 1649

    Multimodal World Model

    A generative model integrating multiple data modalities to simulate and understand physical or biological environments.

    Website pending
  10. 1650

    Wet Lab Experiment

    Physical laboratory experiments involving biological samples and chemical reagents.

    Website pending
  11. 1651

    ML Pipeline

    Automated workflow handling data preprocessing, model training, and deployment

    Website pending
  12. 1652

    Physics-Informed Neural Networks

    Deep learning models embedding physical laws or domain knowledge into loss functions or architecture

    Website pending
  13. 1653

    Reversible Residual Network

    A network structure allowing reconstruction of forward activations during backpropagation, trading compute for memory

    Website pending
  14. 1654

    Tokenization

    The process of converting text sequences into numerical IDs for model processing

    Website pending
  15. 1655

    Chunked Attention

    An attention mechanism variant that splits input sequences into chunks for parallel processing to reduce memory usage

    Website pending
  16. 1656

    Greedy Decoding

    Selects only the most probable next word at each step without considering global optimality.

    Website pending
  17. 1657

    Axial Positional Embeddings

    Decomposing high-dimensional position info into low-dim axial components to save memory

    Website pending
  18. 1658

    Locality-Sensitive Hashing (LSH)

    A technique for approximate nearest neighbor search, used here to accelerate attention computation

    Website pending
  19. 1659

    NVIDIA Ampere

    NVIDIA GPU architecture natively supporting structured sparsity for enhanced deep learning performance.

    Website pending
  20. 1660

    Sparsity

    The property where most data or parameters are zero, used to optimize storage and computation.

    Website pending
  21. 1661

    Grid Search

    Method that exhaustively iterates through preset parameter combinations

    Website pending
  22. 1662

    Hyperparameter Search

    Automated process to find optimal model configuration parameters

    Website pending
  23. 1663

    Warm Starting

    Technique initializing new models with existing pre-trained weights to accelerate convergence.

    Website pending
  24. 1664

    Sequence-to-Sequence (Seq2Seq)

    Task paradigm converting one sequence to another, e.g., machine translation, summarization

    Website pending
  25. 1665

    Pre-trained Checkpoint

    Saved parameter states after large-scale training, used for fine-tuning or initialization

    Website pending
  26. 1666

    Weight Conversion

    Converting pre-trained model parameter formats into structures recognizable by the target framework

    Website pending
  27. 1667

    Model Porting

    The technical process of migrating a model from one framework or codebase to another for compatibility with new environments

    Website pending
  28. 1668

    Checkpoint Conversion

    The process of converting model weight files from one framework format to another compatible format

    Website pending
  29. 1669

    Production Deployment

    The process of integrating ML models into live business systems to provide continuous services

    Website pending
  30. 1670

    Eager Execution

    A programming mode in TensorFlow that executes operations immediately and returns results.

    Website pending
  31. 1671

    TensorFlow Serving

    An open-source system for deploying machine learning models efficiently in production environments.

    Website pending
  32. 1672

    Hyperparameter Tuning

    The process of manually or automatically searching for optimal model configuration parameters

    Website pending
  33. 1673

    Trainer

    A pre-packaged utility class from Hugging Face for managing model training loops.

    Website pending
  34. 1674

    XLA

    Google's machine learning compiler that optimizes computation graphs for performance.

    Website pending
  35. 1675

    Neural Network

    Computational models inspired by biological nervous systems, used for pattern recognition and prediction

    Website pending
  36. 1676

    Trial-and-Error

    A method of finding optimal solutions by repeatedly trying different parameters or structures

    Website pending
  37. 1677

    Low-Rank Approximation

    Using low-dimensional matrices to approximate high-dimensional attention matrices to save memory.

    Website pending
  38. 1678

    Self-supervised Learning

    Training using labels generated from unlabeled data structure

    Website pending
  39. 1679

    Time Complexity

    The trend of algorithm runtime growth relative to input size, e.g., O(n²).

    Website pending
  40. 1680

    Block Sparse Attention

    A sparsification technique dividing the attention matrix into blocks and retaining only specific non-zero blocks.

    Website pending