@kushasahu
Software Developer, Gurugram / Delhi
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Crafting my future byte by byte!
Universe of AI - Publication
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Latest Articles
My First Experience with Gender Bias
My First Experience with Gender Bias
My First Experience with Gender Bias
My experience with gender bias at the age of 10
Building better Data engines - Blog series
Building better Data engines - Blog series
What makes robots human ?
What makes robots human ?
Funny stories about robots failing, the concept of uncanny valley, the subject of ethics and a whole lot of questions.
Data Pruning: Breaking neural scaling laws
Data Pruning: Breaking neural scaling laws
Data Pruning: Breaking neural scaling laws
Houston, We Have a Planet! - Blog Series
Houston, We Have a Planet! - Blog Series
Houston, We Have a Planet! - 4 part Series · Discover how light curves and machine learning help detect exoplanets, using data from Kepler’s mission to reveal hidden worlds. · 5 stories on Medium
DSIPTS: The Standardized Solution for Time Series Forecasting
DSIPTS: The Standardized Solution for Time Series Forecasting
Unlocking Precision in Web Searches: A Deep Dive into Pseudo Relevance Feedback
Unlocking Precision in Web Searches: A Deep Dive into Pseudo Relevance Feedback
Projects
Exoplanet Detection using ML
Exoplanet Detection using ML
Houston, We Have a Planet! - 4 part Series · Discover how light curves and machine learning help detect exoplanets, using data from Kepler’s mission to reveal hidden worlds. · 5 stories on Medium
Predicting Time series CO2 Emissions using CNN-GRU and LSTM models
Predicting Time series CO2 Emissions using CNN-GRU and LSTM models
Particle Filters: Localisation
Particle Filters: Localisation
Motion Recognition using MHI
Motion Recognition using MHI
Grad School Diary: Another Semester Ended. Computer Vision was an amazing course, exhausting but the ‘A’ was totally worth it! Man, PS-3 was a real monster. Stereo, Epipolar geometry, SIFT, Homography, RANSAC, Lucas Kanade, tracking (Kalman, Particles), Face detection, HMM, MHI, phew, too much to learn! Activity recognition using MHI (Motion History Images) was my final project. MHI are images that capture the motion in single images, which can be then used as features for classifiers. It works fine for simple activity classifications, although more sophisticated methods are available for real use cases and MHIs can be one part of the complete system. Attached is the video generated for different types of correctly labeled activities in the dataset for the project. Onto the next, Deep learning, let's see how that pans out! Link to Report: https://lnkd.in/g4bbsvRE
SLAM: AI for Robotics
SLAM: AI for Robotics
Last project of the Semester. This course has become my fav now! Implementing SLAM: Simultaneous Localisation and Mapping The video consists of a robot (left red dot) navigating through an unknown territory of trees, avoiding crashing into them to reach the target location (red triangle on the right side). Had a lot of fun coding this :D (will fine-tune it over the week). This course (AI for robotics) will be missed now. I do wish I had more time with it. #ai #robotics #robot #mastersdegree #omscs
Solving Raven’s Progressive Matrices using KBAI
Solving Raven’s Progressive Matrices using KBAI
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