May the AI power be with you!
DopikAI specialises in providing world-class digital transformation solutions via 10-years-experienced experts in Image Processing, Computer Vision, NLP and Big Data, helping both private and state-owned companies enhance working performance dramatically. We are a responsible, and capable professional team that builds full-stack solutions in multiple platforms with highly scalable back-ends and rich media front-ends. So far we have developed many innovative solutions for clients around the globe in various industries such as entertainment, medical and financial services. Our objective is to provide scalable services at a cost-effective price in which we maintain communication throughout projects and make suggestions to inform the client on what is optimal for their needs, which ultimately leads to lower development costs and satisfactory user experiences.
Computer Vision
Our computer vision team consists of well-experienced experts (PhDs) who have participated in research projects as well as industrial projects in Europe, Singapore and Japan. We provide a wide range of technologies of computer vision, from object detection / segmentation, image classification / captioning to more complex image analysis systems.
See featuresNatural Language Processing
Natural language processing is a subfield of linguistics, concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data. At DopiAI, we focus on learning representation for better solution at downstream tasks in NLP such as text classification, sequence taggings,…
See featuresDigital Image Processing
In computer science, digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing.
See featuresBig Data Processing
Big data processing is typically done on large clusters of shared-nothing commodity machines. One of the key lessons from MapReduce is that it is imperative to develop a programming model that hides the complexity of the underlying system, but provides flexibility by allowing users to extend functionality to meet a variety of computational requirements…
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