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.
Artificial intelligence approaches can help unlock the rapid diagnostic power of spectroscopies such as Raman spectroscopy. Here, we discuss examples of AI-enhanced Raman spectroscopy.
Potentially groundbreaking research published on ArXiv has left many researchers doubtful. If true, it could usher in a whole new generation of technologies and would be one of the most astonishing discoveries in superconductor physics.
In this interview, we speak with CELUS GmbH, a Munich-based company aiming to accelerate innovations in the electronic engineering industry through its cloud-based platform.