Rishabh Garg
@bits-pilani.ac.in
Software Development Engineer (L3) at Google
Birla Institute of Technology & Science, Pilani India.
@bits-pilani.ac.in
Software Development Engineer (L3) at Google
Birla Institute of Technology & Science, Pilani India.
The project aims to investigate the convergence of virtual realms and practical applications of cutting-edge technologies like Machine Learning (ML), Artificial Intelligence (AI), and the Internet of Things (IoT). The project will delve into the pivotal roles played by ML and AI algorithms in crafting lifelike simulations and fostering intelligent virtual entities. The project will also probe into machine learning methods applied in areas like natural language processing, computer vision, and behavioral modeling within virtual settings. It will feature compelling case studies and real-world examples that demonstrate how virtual realms, ML, AI, and IoT are revolutionizing diverse industries, including gaming, healthcare, education, and business.
The project would explore a wide range of topics related to the convergence of augmented reality (AR), the metaverse, and blockchain technology. It would provide readers with a comprehensive understanding of how AR, the metaverse, and blockchain technology are coming together to create new virtual worlds and impact various aspects of our real lives.
The present task integrates Machine Learning and Genomics to create Artificial Life (AL) through gene editing. We propose a specialized sub-network of a Siamese Neural Network (SNN) called TASAG, designed for Genetic Sequence Analysis using Transformer Architecture. TASAG compares a desired gene sequence with a target sequence, identifies differences, and displays necessary edits. These edits enable the incorporation of the desired sequence into the target. A Computerized DNA Synthesizer (CDS) then chemically constructs the edited DNA sequence shown on-screen, aided by microprocessors. These synthesized DNA strands can be inserted into an egg cell to initiate development, culminating in an H-Bot.
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