Route planning solution identifies the optimal route to transfer freights through a hub and spoke model, with minimum operational cost, maximum capacity utilization of vehicles and minimum servicing time. The solution utilizes state of the art quantum computing simulator for optimization, making it...
Model Package - Fulfilled on Amazon SageMaker
This solution helps create large training datasets without manually labeling them over weeks or months. It uses weak supervision approach and regular expression based heuristics with the help of labeling functions (LFs) to assign labels to unlabeled training data. The labels are further enhanced...
Algorithm - Fulfilled on Amazon SageMaker
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Using predictive modeling and machine learning techniques, CARE™ Disease Prediction analyzes more than 14 billion medical claims to identify early indicators of disease for local markets and disease onset across the United States. These predictions give you the information you need to plan outreach...
Model Package - Fulfilled on Amazon SageMaker
This solution takes an annual report in a digital PDF format as input, and returns the JSON data corresponding to the extracted tabular data from the report's Profit & Loss statements. The solution utilizes computer vision techniques to identify the pages with tables, as well as text-based...
Model Package - Fulfilled on Amazon SageMaker
This solution identifies the various aspects and their corresponding sentiment from online product reviews for keyboards and mouse. The following 4 aspects are identified: price, usability, build and, installation and the 3 sentiments identified are: positive, negative and, neutral. This enables...
Model Package - Fulfilled on Amazon SageMaker
This solution will evaluate between several deep learning models of various architectures on the user provided data. It will identify the best performing deep learning model architecture on the basis of validation metric for image classification. This will reduce the time and effort for the...
Algorithm - Fulfilled on Amazon SageMaker
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Command R is a highly performant generative large language model, optimized for a variety of use cases including reasoning, summarization, and question answering. Command R has the capability for multilingual generation evaluated in 10 languages and highly performant RAG capabilities. This variant...
Model Package - Fulfilled on Amazon SageMaker
Surface defects in screw fastener heads pose quality and performance risks. Classifying defects enables for the rapid identification and removal of the causes of their occurrence, as well as the provision of appropriate treatment to fix them. This Deep Learning-based solution identifies two classes...
Algorithm - Fulfilled on Amazon SageMaker
This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_wwm_uncased_L-24_H-1024_A-16/2). It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model...
Model Package - Fulfilled on Amazon SageMaker
In poisoning attack, attacker designed noises- such as image objects, variables value changes, label changes- are induced to the training data to test fidelity and robustness of model training. The model trained on such adverse dataset could systematically result in model vulnerability issues. For...
Algorithm - Fulfilled on Amazon SageMaker
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