Artificial intelligence (ArTIficialIntelligence), English abbreviation for AI. It is a new technical science that studies and develops theories, methods, techniques, and applications that simulate, extend, and extend human intelligence.
Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that responds in a manner similar to human intelligence. Research in this area includes robotics, speech recognition, image recognition, Natural language processing and expert systems. Since the birth of artificial intelligence, the theory and technology have become more and more mature, and the application fields have been expanding. It is conceivable that the technological products brought by artificial intelligence in the future will be the "container" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can be like human thinking, and it may exceed human intelligence.
1. Artificial intelligence is purely the physical process of unconscious mechanical, human intelligence is mainly a physiological and psychological process.
2. Artificial intelligence is not social.
3. Artificial intelligence does not have the creative ability unique to human consciousness.
4. Both are always thinking of the human brain, and the function of the computer is behind.
1. Natural language generation: Generate text using computer data. Currently used in customer service, report generation, and summarizing business intelligence insights. Representatives* vendors include: AtTIvio, CambridgeSemanTIcs, DigitalReason, Lucidworks, NarraTIveScience, and SAS.
2. Speech recognition: The transcription and conversion of human speech into a format useful for computer applications. Currently used in interactive voice response systems and mobile applications. Representatives* vendors include: NICE, NuanceCommunications, OpenText, and VerintSystems.
3, virtual agent: Forrester claims that "virtual agents can be described as the object of the media industry's current competition." From simple chat robots to advanced systems that can communicate with humans. Currently used for customer service and support and as a smart home manager. Representatives* vendors include: Amazon, Apple, ArtificialSolutions, AssistAI, CreativeVirtual, Google, IBM, IPsoft, Microsoft, and Satisfi.
4. Machine Learning Platform: Provides not only design and training models, but also the ability to deploy models to application software, processes, and other machines. It also provides algorithms, application programming interfaces (APIs), development kits, and training kits. Currently used in a wide range of enterprise applications, mainly related to forecasting or classification. Representatives* vendors include: Amazon, FractalAnalytics, Google, H2O.ai, Microsoft, SAS, and Skytree.
5. Hardware optimized for artificial intelligence: This is a specially designed graphics processing unit (GPU) and device designed to efficiently run computational tasks for artificial intelligence. Currently, it mainly plays a role in the field of deep learning applications. Representatives* vendors include: Alluviate, Cray, Google, IBM, Intel and NVIDIA.
6. Deep Learning Platform: A special type of machine learning, including artificial neural networks with multiple abstraction layers. Currently used mainly in the field of pattern recognition and classification applications supported by very large data sets. Representatives* vendors include: DeepInstinct, ErsatzLabs, FluidAI, MathWorks, Peltarion, SaffronTechnology, and SentientTechnologies.
7. Biometrics: Ability to support more natural interactions between humans and machines, including but not limited to image and touch recognition, speech and body language. Currently mainly used in market research. Representatives* vendors include: 3VR, Affectiva, Agnitio, FaceFirst, Sensory, Synqera, and Tahzoo.
8. Robot Process Automation: Use scripts and other methods to automate human operations to support efficient business processes. Currently used in places where human execution tasks or processes are too costly or inefficient. Representatives* vendors include: AdvancedSystemsConcepts, AutomationAnywhere, BluePrism, UiPath, and WorkFusion.
9. Text Analysis and NLP: Natural Language Processing (NLP) uses and supports text analysis. For this reason, it provides convenience for understanding sentence structure and meaning, emotion and intention by means of statistical methods and machine learning methods. Currently used in fraud detection and security, a wide range of automated assistants, and mining unstructured data. Representatives* vendors include: BasisTechnology, Coveo, ExpertSystem, Indico, Knime, Lexalytics, Linuamatics, Mindbreeze, Sinequa, Stratifyd, and Synapsify.
10. Decision Management: The engine embeds rules and logic into the artificial intelligence system and is used for initial setup/training and daily maintenance and tuning. This is a proven technology that is applied to a wide range of enterprise applications to assist or execute automated decision making. Representatives* vendors include: AdvancedSystemsConcepts, Informatica, Maana, Pegasystems, and UiPat.
Artificial intelligence is the science and engineering technology that implements intelligent machines, especially computer programs with intelligence. Artificial intelligence has something to do with the goal of using computers to understand human intelligence, but it does not have to use biological methods.
The scientific research of artificial intelligence should study the internal structure of human wisdom, which is equivalent to the principle of research psychology. It is more or less. Most of the artificial intelligence research that most people do not concentrate on focuses on the latter - engineering realization, knowledge The intelligent activity of human beings is essentially the acquisition and application of knowledge. Knowledge is the basis of intelligence. In order to realize artificial intelligence, the machine must be intelligent, so that it must have knowledge and expression: it must use appropriate means to express human knowledge and then store it in the machine. This is the use of knowledge to express the problem to be solved. The expression of knowledge is to express knowledge into a data structure that is convenient for computer storage and utilization. It is also called knowledge representation technology. Its representation is called knowledge representation mode.
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