Lectures related to Super-resolution Network Analysis: SuperNet

Delves into symmetries in physics, covering group theory, perturbation, and quantification.

Covers STEM and EDX principles, X-ray generation, quantification methods, and analytical TEM applications.

Explores mechanical measurement techniques in life sciences, covering microscopy, optical traps, magnetic tweezers, and deformable beads.

Covers Predicate Logic, focusing on Quantifiers, CNF, and DNF.

Explores predicate logic, focusing on quantifiers and normal forms, emphasizing the importance of finding witnesses and counterexamples.

Explores network analysis methods, operationalizing concepts, historical applications, and challenges in treating time within networks.

Covers inference engines based on resolution, Horn clauses, filtering, and unification in artificial intelligence.

Explores the challenges and insights of deep learning, focusing on loss landscape, generalization, and feature learning.

Explores risk analysis in project management, covering identification, prevention, quantification, and lean management.

Explores the challenges and solutions for managing electron dose in microscopy, emphasizing the importance of accurate dose tracking and analysis.

Emphasizes the importance of big theory in social sciences when dealing with big data and the need for new conventions in the field.

Introduces inelastic scattering in transmission electron microscopy, focusing on electron energy-loss spectroscopy principles and applications.

Explores Physics-guided NMF for STEM/EDXS data analysis, covering challenges, optimization, constraints, and advantages of the modelization.

Explores protein mass spectrometry techniques, including labeling methods, quantitation, and biomarker discovery.

Covers the microscopic analysis of speckles and their applications in research.

Details an internship project focused on improving code generation accuracy using large language models and a new framework called EPIGEN.

Explores the development of an open-source tool for automated PV hosting capacity quantification in distribution networks using Power Factory.

Delves into the historical development of quantification in physics and society, contrasting positivism with hypothetical realism.

Covers the identification of molecules using antibodies and ELISA techniques for detection and quantification.

Discusses the significance of surface states in mechanical construction and their impact on functionality.