AI Research Scientist
Member since 1 year
I am a AI Research Scientist with Cellstrat, an AI Lab based in Bengaluru. I lead the Natural Language Processing (NLP) team and am involved in deep research in this area. My area of interest also include Machine Learning, Time Series and Algorithmic Trading
I am an active member at Analytics Vidhya and Kaggle and take part in AI hackathons.
SQUAD application through Knowledge Graph for COVID-19 LiteratureAnupam RanjanAI Research ScientistCellstratYash RajStudentChandigarh University
schedule 11 months agoSold Out!
There are numerous documents and research papers being published for COVID-19 and doctors are not able to absorb the content of all the literature. It has become a real challenge to extract relevant information in a short span of time.
Knowledge Graph along with SQUAD application can help process multiple documents and extract precise information from a set of documents quickly. This will be a very handy application for healthcare professional to extract relevant information without going in detail with each application.
The session will demonstrate the following:
a) Text Processing of COVID-19 literature
b) Named Entity Extraction from the documents using BERT/Spacy
c) Building a Knowledge Graph of the documents
d) Building question-answer application
Advanced AI Application Showcasefavorite_border 19 odsc-india-2019 machine-learning-&-deep-learning Workshop 480 Mins Intermediate computer-vision image-segmentation image-processing pose-estimation densepose u-net deeplab natural-language-processing bert ner neural-language-translation sequence-models time-series reinforcement-learning driverless-cars morphnet neural-networks convolutional-neural-networks recurrent-neural-networks artificial-intelligence ai-research gaming text-analytics healthcareVivek SinghalCo-Founder & Chief Data ScientistCellStratAnupam RanjanAI Research ScientistCellstrat
schedule 1 year agoSold Out!
In this session, data scientists from CellStrat AI Lab will present demos and presentations on cutting-edge AI solutions in :-
- Computer Vision - Image Segmentation with FCN/UNets/DeepLab/ESPNet, Image Processing, Pose Estimation with DensePose
- Natural Language Processing (NLP) - Latest NLP and Text Analytics with BERT, NER, Neural Language Translation etc to solve problems such as text summarization, QnA systems, video captioning etc.
- Reinforcement Learning (RL) - Train Atari Video Games with RL, Augmented Random Search, Deep Q Learning etc. Apply RL techniques for gaming, financial portfolios, driverless cars etc. Train Robots with MuJoCo simulator.
- Driverless Cars - Demo on multi-class roads datasets, path planning and navigation control for cars etc.
- Neural Network Architectures - Faster and Smaller Neural Networks with MorphNet
No more submissions exist.
No more submissions exist.