• Editorial
  • Igniting Young Minds
  • I Artificial Intelligence and Machine Learning
    • 1 The Legacy of Hopfield and Hinton
      • 1.1 Introduction
      • 1.2 John Hopfield
      • 1.3 Geoffrey Hinton
      • 1.4 What does the Academic Ancestry Teach Us ?
    • 2 Physics in the 2024 Nobel Prize for Physics
      • 2.1 Contributions of John Hopfield and Geoffrey Hinton
      • 2.2 Physics Employed in Hopfield Network and Boltzmann Machine
      • 2.3 Spin System
      • 2.4 Conclusion
    • 3 Will AI Bring an End to Humanity?
      • 3.1 Introduction
      • 3.2 Inequality and Access to AI
      • 3.3 Ethical Dilemmas
      • 3.4 Misuse of AI in Warfare
      • 3.5 Mitigation Methods for Reducing the AI Divide
      • 3.6 Conclusion
  • II Astronomy and Astrophysics
    • 1 Black Hole Stories-13 More About Black Hole Spin Measurements
      • 1.1 The Reflection Spectrum
      • 1.2 Modifications of the Reflection Spectrum
      • 1.3 The Distribution of the Spin Parameter
    • 2 Learning is Better than Programming
      • 2.1 Introduction
      • 2.2 ImageNet Challenge
      • 2.3 AlexNet
      • 2.4 The Legacy of AlexNet
    • 3 Applications of AI in Astronomy and Astrophysics
      • 3.1 Introduction
      • 3.2 Classification and Identification of Celestial Objects
      • 3.3 Exoplanet Detection
      • 3.4 Variable Stars and X-ray Binary Analysis
      • 3.5 Gravitational Wave Detection
      • 3.6 Fast Radio Burst (FRB) Detection
      • 3.7 Cosmology and Dark Matter Studies
      • 3.8 Image Processing and Enhancement for Telescope Data
      • 3.9 Astroparticle Physics and Cosmic Ray Detection
      • 3.10 Conclusion
  • III Biosciences
    • 1 Harnessing Artificial Intelligence for Biodiversity Conservation: A New Era of Ecological Understanding
      • 1.1 Introduction
      • 1.2 The Challenge of Biodiversity Loss
      • 1.3 The Role of AI in Biodiversity Conservation and Data Collection Efficiency
      • 1.4 Wildlife Monitoring and Protection
      • 1.5 Wildlife Conservation Tools and Technologies
      • 1.6 Wildlife Conservation Tools and Technologies
      • 1.7 Case Studies
      • 1.8 Behavioural Studies Through Machine Learning
      • 1.9 Ethical Considerations
      • 1.10 Conclusion
      • 1.11 Future Directions
    • 2 Bronchopulmonary Dysplasia in Preterm Infants: Addressing the Challenges and Advancements in Management
      • 2.1 Introduction
      • 2.2 Mortality and Morbidity
      • 2.3 Short-Term and Long-Term Outcomes
      • 2.4 Pathogenesis of BPD
      • 2.5 Prevention and Treatment Challenges
      • 2.6 Postnatal Corticosteroids
      • 2.7 Predictive Modeling
      • 2.8 Emerging Treatments and Future Directions
    • 3 Ethical Implications of Using AI in Scientific Research
      • 3.1 Ensuring Accuracy and Trustworthiness in AI Findings
      • 3.2 The Transparency Challenge: Opening the “Black Box”
      • 3.3 The Risk of Bias in AI Models
      • 3.4 Moving Forward: A Framework for Responsible AI in Research