• Editorial
  • I Artificial Intelligence and Machine Learning
    • 1 Self Attention Models
      • 1.1 The Superiority of Transformer Models: Revolutionizing NLP and Rendering RNNs Obsolete
      • 1.2 Blocks of Self Attention Models
      • 1.3 Conclusion
    • 2 Transforming the landscape of ML using Transformers
      • 2.1 Introduction
      • 2.2 The Role of Auto-Encoders
      • 2.3 Does Chat-GPT really understand human language?
      • 2.4 Understanding Transformers
      • 2.5 The Attention Block
  • II Astronomy and Astrophysics
    • 1 X-ray Astronomy: Through Missions
      • 1.1 Altius, Tempus: Ages of Satellites
      • 1.2 Satellites in 1970s
    • 2 Exploring Stellar Clusters: Insights from Color-Magnitude Diagrams, Part-1
      • 2.1 Introduction
      • 2.2 Star Clusters
      • 2.3 The Hertzsprung-Russell Diagram of Globular Clusters
      • 2.4 Challenges in Constructing HR Diagrams for Globular Clusters
  • III Biosciences
    • 1 Precision Medicine and its Role in Cancer Care
      • 1.1 Introduction
      • 1.2 Precision Medicine and Gene Changes
      • 1.3 Gene Changes and Cancer
      • 1.4 Precision Medicine in Cancer Care:
      • 1.5 Types of Cancer where Precision Medicine is Used:
      • 1.6 Precision Medicine and Cancer Care Prevention for High Risk Individuals
      • 1.7 Limitations to Precision Medicine in Cancer
    • 2 Exploring Varied Approaches for DNA Methylation Detection
      • 2.1 DNA Methylation Microarray
      • 2.2 WGBS
      • 2.3 MeDIP-seq
      • 2.4 RRBS
      • 2.5 Conclusion
  • IV General
    • 1 How to Think Like a Product Manager in Academia
      • 1.1 Introduction
      • 1.2 Why is the Product or Feature Required
      • 1.3 Problem Identification and Definition
      • 1.4 Incremental Improvements
      • 1.5 Active Customer Engagement
      • 1.6 Conclusion