IN BRIEF Artificial Intelligence : a revolutionary tool to unlock the mysteries of the Universe. Applications in cosmology to understand dark energy. Numerical methods and simulations at the service of science. Use of machine learning for astronomical research. AI tools to predict the structure of the Universe. Collaboration between mathematics, physics, and AI for significant … Read more
IN BRIEF Machine learning for cosmological analysis. Correction of detection biases of weak lenses. Use of algorithms for astrophysical parameter estimation. Introduction to ensemble methods. Estimations of biases related to galaxy properties. Applications of AI in the quest for the infinite. Use of optimal transport algorithms in cosmology. Machine learning in astronomy and biomedicine. In … Read more
IN BRIEF AI Technologies and their impact on theoretical physics research. The fusion of artificial intelligence and quantum physics for radical innovation. The role of AI in science communication and education. Analysis of technological advancements and future prospects in AI. Implications for the future of scientific careers and harnessing the benefits of AI. Ethics and … Read more
IN SHORT Machine Learning Principles: Understanding the fundamental elements. Predictive Model: Manipulating basic functions. Training: Jedha’s beginner Data bootcamp, 75 hours in 2 weeks. Learning by Experience: Technology without human intervention for complex tasks. Recommended Readings: Books suitable for beginners in Machine Learning. Free Courses: Microsoft ML program with 26 lessons. Deep Learning: Focused on … Read more
IN BRIEF Practical applications of artificial intelligence in various sectors. Improvement of productivity at work through automation. Impact of AI on jobs and the transformation of professional tasks. Facilitation of accessibility for people with disabilities. Ethical issues related to the use of AI technologies. Influence of AI on social behaviors and communication. Examples of applications … Read more
IN BRIEF Use of mathematics to model complex systems. Neural networks and their mathematical foundations. Statistics to analyze and interpret data. Supervised learning and parameter tuning. Modern theories to predict chaotic phenomena. Applied mathematics in operational research. Influence on education and mathematics teaching. Optimization of learning methods through mathematics. Data security via mathematical approaches. Mathematics … Read more