• Editorial
  • News in Brief
  • News in Brief
  • I Artificial Intelligence and Machine Learning
    • 1 Transformer Architecture in Computer Vision-Part II
      • 1.1 Vision Transformer (ViT) Concept
      • 1.2 Transformer Encoder in the Vision Transformer (ViT)
      • 1.3 Conclusion
  • II Astronomy and Astrophysics
    • 1 When the Crab Slows Down : A Bharathiya Antariksh Hackthon Story
      • 1.1 Bharathiya Antariksh Hackathon 2024
      • 1.2 The Crab is Slowing Down
    • 2 The Pleiades Cluster
      • 2.1 Pleiades
      • 2.2 Mythological Significance of the Pleiades
      • 2.3 Formation of the Pleiades Cluster
      • 2.4 Structure of the Pleiades Cluster
      • 2.5 Locating the Pleiades
      • 2.6 Astronomical Significance
      • 2.7 Astrophysical Importance
      • 2.8 Cultural and Historical Significance
      • 2.9 Visibility and Aesthetic Appeal
      • 2.10 Scientific Discoveries
  • III Biosciences
    • 1 Drug Repurposing or Drug Repositioning: An Emerging Approach in Drug Discovery
      • 1.1 Introduction
      • 1.2 Traditional Drug Discovery vs. Drug Repurposing
      • 1.3 Advantages of Drug Repurposing
      • 1.4 Methodologies of Drug Repurposing
    • 2 The Evolution of Artificial Intelligence in Neonatology: An India-Focused Perspective
      • 2.1 Introduction
      • 2.2 AI and Neonatology: A Growing Synergy
      • 2.3 AI in Electronic Neonatal Intensive Care Units (e-NICU)
    • 3 Biomarkers: Powerful Indicators in Healthcare
      • 3.1 Diagnostic Biomarkers
      • 3.2 Prognostic Biomarkers
      • 3.3 Predictive Biomarkers
      • 3.4 Risk Biomarkers
      • 3.5 Safety Biomarkers
      • 3.6 Monitoring Biomarkers
      • 3.7 Summary of Biomarker Types
      • 3.8 Conclusion
  • IV General
    • 1 The Swachha Shala Initiative
      • 1.1 The Problem
      • 1.2 My Approach
      • 1.3 Dataset
      • 1.4 Current App
      • 1.5 Epilogue
  • V Computer Programming
    • 1 The Evolution of GPUs: Powering the Next Generation of High-End Computing and Artificial Intelligence
      • 1.1 Introduction
      • 1.2 The Birth of the GPU: From Graphics to General-Purpose Processing
      • 1.3 GPU Architecture: A Deep Dive
      • 1.4 From Graphics to General-Purpose Computing
      • 1.5 GPUs in AI and Machine Learning: A Match Made in Silicon
      • 1.6 Challenges and Limitations of GPUs in High-End Computing
      • 1.7 The Future of GPUs: What's Next?
      • 1.8 Conclusion
      • 1.9 Suggested Further Reading
      • 1.10 Timeline of GPU Evolution
      • 1.11 GPU Architecture Overview
      • 1.12 GPUs in Action
      • 1.13 Future of GPUs