Section 04 · Section
Fields, Tasks and Modalities
المجالات والمهام والوسائط
This part covers the traditional fields, tasks and modalities of AI: language, speech, vision, search, planning, retrieval, time series, robotics and localization. It deals with classical and specialized tasks and their associated modalities, whereas foundation models are studied as a distinct phenomenon in Part 5, and sectors in Part 10.
Section04
Branches14 branches
Entries0 entries
§ 4.0
Branches
الفروع| Code | Branch | Scope | Entries |
|---|---|---|---|
| 4.1 | Natural Language Processing | Covers natural language processing tasks: classification, extraction, machine translation, summarization, question answering, dialogue and text representation | 0 |
| 4.2 | Speech and Audio | Covers speech and audio tasks: speech recognition, voice generation, speaker identification, and processing of music and environmental sounds | 0 |
| 4.3 | Computer Vision and Video | Covers computer vision and video: image classification, object detection, segmentation, motion tracking, scene understanding, and image and video generation | 0 |
| 4.4 | Multimodal AI | Covers multimodal AI as a task field: linking text, image, audio and video, image captioning, visual question answering and cross-modal search | 0 |
| 4.5 | Search, Planning and Reasoning | Covers search, planning and reasoning as tasks: state-space search, automated planning, constraint solving, games, and logical and symbolic reasoning | 0 |
| 4.6 | Expert Systems and Fuzzy Logic | Covers expert systems and fuzzy logic as tasks and applications: production rules, inference engines, fuzzy sets and decision-support systems | 0 |
| 4.7 | Retrieval, Knowledge and Recommendation | Covers retrieval, knowledge and recommendation: search engines, indexing, semantic retrieval, recommender systems and knowledge querying | 0 |
| 4.8 | Time Series and Anomaly Detection | Covers time series and anomaly detection: forecasting, signal analysis, detection of unusual cases and predictive maintenance | 0 |
| 4.9 | Robotics, Control and Autonomy | Covers robotics, control and autonomy: sensorimotor perception, motion planning, control, autonomous vehicles and systems, and human–robot collaboration | 0 |
| 4.10 | Scientific and Creative AI | Covers scientific and creative AI as a research field: scientific modelling, discovery of materials and proteins, and assistance in artistic, musical and literary composition | 0 |
| 4.11 | Localization, Low-Resource Languages and Cultural Representation | Covers the localization of systems, handling of low-resource languages and cultural representation: corpus collection, performance across dialects and representational bias | 0 |
| 4.12 | Inference-Time Reasoning | Covers inference-time reasoning: chains of thought, search during inference, extra computation at response time and self-verification | 0 |
| 4.13 | Affective Computing and Emotional Interaction | Covers affective computing and emotional interaction: emotion recognition, generation of emotional responses and artificial companions | 0 |
| 4.14 | Technology Convergence: QML, Bio-AI and Neurotechnology | Covers technology convergence with AI: quantum machine learning, bio-AI, neurotechnology and brain interfaces | 0 |