RESEARCH & IP

CellStrat is India’s top research firm in emerging areas of Artificial Intelligence, Machine Learning, Deep Learning and other cutting-edge technologies.

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CellStrat AI practice defines the standards in Artificial Intelligence design and consulting. Our Deep Learning algorithms are disrupting the way how business gets done !

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Attend Disrupt4.0 events which drive the discussions around AI innovation and applications of Deep Learning in a variety of verticals. Register for the upcoming Disrupt events.

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Solutions Consulting in AI and Machine Learning

EraStrat defines the standard in AI and ML application design and development.

Backed by our market-leading research content, we have expertise in algorithmic design related to machine learning protocols, deep neural networks and training AI routines. We are expert in developing scalable machine learning programs and applications.

Contact us for all your ML design and development needs.

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RECENT POSTS

06
Sep
Overview of Quantum Machine Learning

Author : Niraj Kale Submitted on : 5 Sep 2020 Abstract – Machine learning has come a long way since the perceptron was introduced in the 1950s. With more advanced ML algorithms there is a need for speed to achieve higher accuracy. Quantum computation can help in achieving higher calculations per second which can exponentially […]

Posted in: papers, Quantum Machine Learning,
27
Aug
Working with Giant Graphs

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars #WhereLearningNeverStops Recently, our AI Lab Researcher Gouthaman Asokan presented an excellent session on Giant Graphs, wherein we use specialized Graph Neural Networks to process and mine massive graphs – such as social networks or paper citation graphs. Examples of Real Life Giant Graphs Giant graphs has usually millions or billions of nodes […]

Posted in: Graph Neural Networks, Healthcare, Pharma, Publishing,
Tags: Bigraph, control variate sampling, giant graphs, graph neural networks, graph theory, GraphSage, knowledge graph, Knowledge Graphs, neighbor sampling, Node Flow, PubMed, Receptive Field, reddit dataset, SageNet, social network, social networks,
20
Aug
AlphaZero with Monte Carlo Tree Search

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars #WhereLearningNeverStops In recent weeks, I had presented a session on “AlphaZero with Monte Carlo Tree Search” algorithm at the CellStrat AI Lab. This is an algorithm developed by Google Deepmind in 2016. It mastered the game of GO and beat the 18-time world champion at the time Lee Sedol. Go is an ancient Chinese abstract strategy […]

Posted in: Gaming, Reinforcement Learning, Robotics,
Tags: Actor Critic, AlphaGO, AlphaZero, deepmind, Game Tree, MCTS, Monte Carlo Tree Search, policy evaluation, policy improvement, policy iteration, reinforcement learning, UCT, Upper Confidence Bound,

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