Artificial Intelligence
#CellStratAILab #disrupt4.0 #AIforKids #disruptforkids #WhereLearningNeverStops Image Credit : https://bit.ly/2RUv59W; https://bit.ly/2RRXQ6O CellStrat AI Lab is pleased to present CS SmartKids Program – AI ML Training for Kids. Dear Parents, Are you looking for AI ML Training for your emerging Tech Star kids ? Is your child interested in learning new technologies with real-world […]
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 […]
#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 […]
#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 […]
#CellStratAILab #disrupt4.0 #WeCreateAISuperstars Recently, our AI Lab Researcher Gouthaman Asokan presented an amazing session on Generative Models for Graphs. This is part of our webinar series on Graphs and Graph Neural Networks. Graph is a nonlinear data structure consisting of nodes and edges. Widely used in applications like Physical system interactions, Knowledge graphs, Molecular interactions, Transportation […]
Recently, I presented a session on End-to-End Object Detection with Transformers at CellStrat AI Lab. Introduction The goal of object detection in computer vision is to identify and locate objects in an image or video. The object detection methods can be divided into two categories as Two stage detectors and Single stage detectors. In two stage […]
Recently I presented a session on Optimization-based Meta Learning, Part 3 of the Meta Learning Series, at the CellStrat AI Lab. The previous parts are found here – Part 1 (Metric-based Meta Learning), Part 2 (Model-based Meta Learning) Meta Learning, of course, refers to “Learning to Learn“. Quick Recap (Metric-based Meta Learning) Meta-Learning deals with […]
Introduction Moving up the value chain CellStrat would like to encourage discussions and webinars focusing on the application of AI in Real Life problem-solving. A beginning has already been made and this is another step in that direction. The use of Deep Learning and Reinforcement Learning to solve a complex Strategic Negotiation is a very […]
#CellStratAILab #disrupt4.0 #WeCreateAISuperstars #WhereLearningNeverStops Recently I presented Part 2 of the Meta Learning Workshop series at the CellStrat AI Lab. The topic was Model-based Meta Learning. A Quick Recap Meta-Learning deals with creating models which either learn and optimize fast or models which generalize and adapt to different tasks easily. Few-Shot classification frames image classification […]
Survey forms, invoices, bills, memos, tenders, and myriad such documents which businesses face on daily basis. These are full of numbers, characters, images, signatures etc…in almost all languages worldwide…. hard to imagine our world without any languages. Think about how many text and voice data we face every day. What about determining meaning from this […]