The main goal of course is to provide a comprehensive details on the recent advances
in deep learning applied to NLP. The session presents state of the art of NLP-centric deep learning research, and focuses on the role of deep learning played in major NLP applications including spoken language understanding, dialog systems,lexical analysis, parsing, knowledge graph, machine translation, question answering, sentiment analysis, social computing, and natural language generation (from images).

Provide training and consulting on AI and more specifically on Deep Learning, and can work with your in-house team. Also we work in DevOps mode if needed to design, develop and maintain the AI solution. We deliver value by understanding your use cases and providing end to end strategy and implementation. It is very important to use open source tools and stay away from proprietary AI platforms. AI is still a moving target. By locking in to an AI platform, you risk wasting a lot of time and resources when new AI technologies appear. We only use open source tools and help you build AI and data science platforms which are platform agnostic and easy to maintain and support. Having done extreme optimizations(fine-tuning) and research on NMT/BERT/XLNET based architectures we are positioned uniquely to the following. Install, configure and optimize vanilla(google's) NMT/BERT/XLNET at your on-premise/cloud hardware Install Stillwater's pretrained and more finely tuned NMT/BERT/XLNET on your on-premise/cloud hardware Building AI platform for an Investment Banking Major for Automated Trading and Operational Optimization(Automated L1/L2/L3 support) using the above technology stack.