1, natural language processing: text categorization, named entity recognition, sentiment analysis, machine translation, question and answer system.
2, machine learning: supervised learning, unsupervised learning, reinforcement learning, transfer learning, deep learning, etc., for data analysis, pattern recognition, predictive model construction and other tasks.
3, computer vision: image recognition, target detection, image segmentation, face recognition, action recognition, unmanned visual perception and so on.
4, speech recognition and synthesis: speech input converted into text, voice wake-up, voice command recognition, speech synthesis (TTS) and other technologies.
5, intelligent robots: robots, service robots, social robots, drones, self-driving cars and so on.
6, data mining and analysis: big data analysis, intelligent recommendation system, user behavior analysis, predictive analysis, etc..
7, expert system and knowledge map: knowledge base system and complex knowledge representation structure used to simulate the decision-making process of human experts.
8, biometric identification: including fingerprint identification, iris identification, vein identification and other biometric-based security systems.
9, artificial intelligence chips and hardware: processors, GPUs, TPUs, FPGAs and other hardware acceleration devices optimized and designed for AI algorithms.
10, smart home and Internet of Things: AI technology empowers smart home devices to realize intelligent control, linkage operation and other functions.
11, AI medical health: medical imaging diagnosis, genomics analysis, drug development, intelligent assisted diagnosis and treatment.
12, AI finance: risk assessment, intelligent investment, anti-fraud, credit approval, quantitative trading and other financial applications.