I. Artificial Intelligence
Artificial intelligence (AI) is a branch of computer science and has been considered one of the world's three cutting-edge technologies since the 1970s (along with space technology and energy technology). It is also considered one of the three cutting-edge technologies of the 21st century (along with genetic engineering and nanoscience). This is because it has developed rapidly over the past thirty years, finding widespread application and achieving fruitful results in many disciplines. AI has gradually become an independent branch, forming its own system in both theory and practice.
Artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It primarily includes understanding the principles of computer intelligence, creating computers that resemble human brain intelligence, and enabling computers to achieve higher-level applications. AI involves disciplines such as computer science, psychology, philosophy, and linguistics. It encompasses almost all disciplines in the natural and social sciences, extending far beyond the scope of computer science. The relationship between AI and cognitive science is one of practice and theory; AI exists at the technological application level of cognitive science, serving as its applied branch. From a cognitive perspective, AI is not limited to logical thinking; it must also consider visual and intuitive thinking to promote breakthroughs. Mathematics is often considered the foundation of many disciplines, and it has entered the fields of language and thought. AI must also utilize mathematical tools. Mathematics plays a role not only in standard logic and fuzzy mathematics, but its integration into AI will mutually promote and accelerate its development.
II. Application of Artificial Intelligence Data Labeling
Data labeling has become an extremely large industry, with wide applications not only in artificial intelligence but also creating numerous new job opportunities. So, in what areas is data labeling applied, and why is it so popular?
1. Intelligent Transportation Data Applications
Driving video capture and road condition information extraction, including 3D point cloud obstacles, traffic lights, lane lights, and high-precision maps, provide accurate training data for technologies such as pedestrian recognition, vehicle recognition, traffic light recognition, and lane line recognition, thus safeguarding intelligent transportation.
2. Application of facial recognition data
The acquisition of facial images from multiple age groups, angles, expressions, and lighting conditions, along with the annotation of key facial information points, provides data support for improving facial recognition technology.
3. E-commerce data application
We collect and analyze various e-commerce data, including product information, sales volume, and user reviews. We provide the most accurate product sales data and genuine user feedback.
4. Intelligent voice data application
We collect and process speech data from major global languages, including gender and emotion recognition, and speech-to-text conversion. This improves the quality of speech data for Automatic Speech Recognition (ASR) and Text-to-Speech (TTS), enabling your smart devices to better understand your needs.
5. OCR data application
The collection and content recognition of various vertical images, such as license plates, lottery tickets, business cards, ID cards, bank cards, and handwritten traces, improves the accuracy of text recognition in multiple scenarios for smart devices.
6. Online public opinion monitoring
It provides data collection and analysis of articles, comments, likes, and other data posted by users on various social media platforms such as news sites, forums, blogs, and online communities. It offers faster and more accurate online public opinion data.
As we can see, data annotation has been widely applied across various industries, which are gradually upgrading and moving towards industrialization. In the process of industry development, the cultivation of industry talent is undoubtedly the greatest driving force. In this regard, AI Excellent Evaluation has taken the lead. Through cooperation with authoritative departments, AI Excellent Evaluation has established a complete talent evaluation system, scientifically evaluating data annotation talent and awarding qualified individuals the "Artificial Intelligence Technology Service - Data Annotation and Verification" high-tech competency certificate, uniformly issued by the National Vocational Qualification Training and Appraisal Experimental Base. These individuals are also directly recommended for employment, contributing to the development of the industry.
