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Mixed Reality Spatial Mapping: Making the Invisible Visible
Mixed Reality Spatial Mapping is a technology which allows for the augmented and virtual reality environments to interact with the real world. It uses sensors to map out the physical environment and then uses this data to create a virtual representation of the physical environment. This enables users to interact with the virtual environment in an intuitive way. Read this blog to know more.
Backpropagation in Neural Networks
Backpropagation is a powerful tool that has been used to solve complex problems in artificial intelligence, neural networks, and machine learning. It allows for efficient training of neural networks and the development of powerful models that can be used for many different tasks. Read this blog to know more.
Making sense of open-end research responses - Case Study
Tooliqa created a cutting-edge generic text analytics engine using modelling and NLP techniques that could recognise the most crucial topics and subtopics in the given large textual data.
Bringing automation to market research - Case Study
Tooliqa produced bespoke ML models and created custom domain datasets to automate the entire market research process by combining deep learning, NLP, and data science methodologies. It resulted in the development of a solid AI-driven solution with potential for disruption.
Visual Inspection in Manufacturing Case Study
We at Tooliqa were able to locate the manufacturing irregularity by fusing artificial intelligence, image processing, and computer vision. The end user and various reports have been triggered by the event in order to increase production output.
Information Extraction & Workflow Automation
Tooliqa was successful in extracting important data from a contract, such as supplier name, customer name, contract start date, and contract termination date, using deep learning and NLP techniques. This reduced the need of manual labor and managed to save a lot of time. The client deployed our solution on their system.
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