• Editorial
  • I Artificial Intelligence and Machine Learning
    • 1 Introduction to Quantum Machine Learning
      • 1.1 Limitations of Hopfield Networks
      • 1.2 Quantum Associative Memory
      • 1.3 Summary
    • 2 Application of NLP in Medical Field
      • 2.1 Clinical Documentation
      • 2.2 Information Extraction from EHR
      • 2.3 Clinical Decision Support
      • 2.4 Automated Report Summarisation
      • 2.5 Virtual Health Assistance
      • 2.6 Medical Coding and Billing
      • 2.7 Conclusion
    • 3 Probabilities in Machine Learning
      • 3.1 Introduction
      • 3.2 Use in Machine Learning
      • 3.3 Interpretations of probability
      • 3.4 Interpreting Probability Density Functions (PDF)
      • 3.5 Bayes Theorem: Evidence should not determine beliefs but update them
  • II Astronomy and Astrophysics
    • 1 Particle Paths in General Relativity
      • 1.1 The Effective Potential in General Relativity
      • 1.2 Bound Orbits in the Schwarzschild Effective Potential
      • 1.3 Precession of the Perihelion of Mercury
    • 2 Unveiling the Mysteries of Supergiant Fast X-ray Transients
      • 2.1 Introduction
      • 2.2 Supergiant Fast X-ray Transients
      • 2.3 Formation and Evolution
      • 2.4 Importance of the Study of SFXTs
      • 2.5 The Future Unfold
  • III Biosciences
    • 1 An Introduction to Biodiversity and its Conservation
      • 1.1 Introduction
      • 1.2 Levels of Biodiversity
      • 1.3 Importance of Biodiversity
      • 1.4 Hotspots of Biodiversity
      • 1.5 Biodiversity Estimations
      • 1.6 Estimation of Biodiversity Loss
      • 1.7 Conservation
      • 1.8 Need for Conserving Biodiversity
  • IV General
    • 1 AI Safety
      • 1.1 Introduction
      • 1.2 Origins of Safety Concerns
      • 1.3 Methods to Resolve
      • 1.4 Conclusion