Vivek Singhal
Co-Founder & Chief Data Scientist
CellStrat
location_on India
Member since 10 months
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Vivek Singhal
Specialises In (based on submitted proposals)
Serial Entrepreneur and Artificial Intelligence / Machine Learning expert.
A leading Data Scientist and researcher with expertise in AI and Machine Learning. Also, a Startup Advisor and Industry Consultant having spent many years in USA and India in the high-tech industry. Co-Founder at CellStrat, India's leading Artificial Intelligence startup.
Serial Entrepreneurial experience having Co-Founded or advised several startups in prior years including Healthiply.in (AI-driven online health startup), LocVille.com (online furniture and decor) and SalesGlobe (sales CRM).
Long experience in telecom and digital industries in Strategy, Mobile Apps/Web, Data Analytics, Systems Integration and Enterprise Mobility, in leading MNCs like IBM, AT&T, Schlumberger, HCL-HP etc.
Thought leader within and outside the corporate environment driving innovation and consulting in emerging areas like Artificial Intelligence, Social Commerce, Enterprise Mobility and IoT. Regular participation in events and forums in the capacity of Advisor and Speaker.
Specialties: Artificial Intelligence / Machine Learning, Mobility, ECommerce, Startups, Telecom, Business Consulting, Systems Integration
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Advanced AI Application Showcase
Vivek SinghalCo-Founder & Chief Data ScientistCellStrat
Anshumaan DashDeep Learning Researcher- Computer VisionCellStrat AI Labs
Anupam Ranjan-
Shreyas JAI ResearcherCellstrat AI Lab
Shubha ManikarnikeDeep Learning ResearcherCellstrat AI Labschedule 3 weeks ago
480 Mins
Workshop
Intermediate
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
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Advances in Reinforcement Learning
45 Mins
Talk
Intermediate
This session will discuss Reinforcement Learning (RL) algorithms such as Policy Gradients, TD Learning and Deep-Q Learning. We will discuss how emerging RL algorithms can be used to train games, driverless cars, financial decision models and home automation systems.
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Applications of Generative Modeling
20 Mins
Experience Report
Intermediate
Generative Models are important techniques used in computer vision. Unlike other neural networks that are used for predictions from images, generative models can generate new images for specific objectives. This session will review several applications of generative modeling such as artistic style transfer, image generation and image translation using CNNs and GANs.
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