Deep Learning
A subset of machine learning and inspired by brain neurons, the neural network uses multiple layers to progressively extract higher-level features from the raw input.
"The coming era of Artificial Intelligence will not be the era of war, but be the era of deep compassion, non-violence, and love."
Today AI can be used to automate various sectors like Insurance, Medical, banking and automobile etc. Most common operations can be automated to run systematically and intelligence can be set in the program so that the system can learn new patterns and handle those operations with minimal or no intervention of the third party.
A subset of machine learning and inspired by brain neurons, the neural network uses multiple layers to progressively extract higher-level features from the raw input.
Natural language processing (NLP) involves reading of english statement and processing it to understand the output that is desired from the raw data. Some of the use cases of NLP are Sentiment analysis, Virtual assistant (chatbot), Spam filter, Information extraction and Personalized Marketing.
Computer vision covers understanding the type of image, image content and tagging it for future references.
CoWorking Next chatbot is based on python NLP and NLU frameworks. The aim is to provide users with an interactive interface where they can do daily operations with simple english statements. Backend is an AI engine that communicates with coworking Next software and does the required transactions.
This similarity detection mechanism is based on Python and looks for specific image pattern in other images. The resultant provides a match of the base image in other sets of images.The users can utilize best match images for further processing.
