Inspiring new research directions with AI


Krenn, M. (2021). Inspiring new research directions with AI. Perimeter Institute. https://pirsa.org/21120001


Krenn, Mario. Inspiring new research directions with AI. Perimeter Institute, Dec. 10, 2021, https://pirsa.org/21120001


          @misc{ pirsa_PIRSA:21120001,
            doi = {10.48660/21120001},
            url = {https://pirsa.org/21120001},
            author = {Krenn, Mario},
            keywords = {Quantum Information},
            language = {en},
            title = {Inspiring new research directions with AI},
            publisher = {Perimeter Institute},
            year = {2021},
            month = {dec},
            note = {PIRSA:21120001 see, \url{https://pirsa.org}}

Mario Krenn Max Planck Institute for the Science of Light


The vast and growing number of publications in all disciplines of science cannot be comprehended by a single human researcher. As a consequence, researchers have to specialize in narrow subdisciplines, which makes it challenging to uncover scientific connections beyond the own field of research.

In my talk, I will present a possible solution: I demonstrate the development of a semantic network for quantum physics (SemNet), using 750,000 scientific papers and knowledge from books and Wikipedia. I use it in conjunction with an artificial neural network for predicting future research directions. Finally, I show first indications how individual scientists can use SemNet for suggesting and inspiring personalized, out-of-the-box ideas.

I believe that computer-inspired scientific ideas will play a significant role in accelerating scientific progress, and am looking forward hearing your thoughts and ideas about this crucial question.

[1] Mario Krenn, Anton Zeilinger, Predicting research trends with semantic and neural networks with an application in quantum physics, PNAS 117(4) 1910-1916 (2020).
[2] IEEE BigData 2021 competition: Science4Cast: https://github.com/iarai/science4cast

Zoom Link: https://pitp.zoom.us/j/92240839439?pwd=LytUTHlMWE9ycjlsUXJkdHRta2c1UT09