Photonic design involves developing optical components and systems that use light for computing, communications, and sensing. With the growing complexity of these systems, the adoption of machine learning has proven effective in modeling intricate structures and extracting valuable insights from extensive datasets.
X-ray fluorescence (XRF) has become an invaluable analytical technique for non-destructively authenticating precious metal artifacts and artworks through elemental analysis, empowering art historians and archaeologists to accurately date items, determine origins, reveal hidden drafts, and distinguish forgeries from antiquities.