How AI can enhance science’s most powerful tools

Artificial intelligence is a rapidly growing field of science and technology, yet the potential it holds for enhancing some of the world’s most powerful experimental tools such as neutron and x-ray probes is yet to be fully explored. Applying machine learning methods to processes within these international experimental facilities could help to overcome some of the biggest challenges faced by scientists today. This includes automating some of the handling, processing, and linking together of large datasets. At Institut Laue-Langevin, exploratory projects are already underway to ensure scattering science also reaps the benefits of artificial intelligence research.

The emerging trends of Nobel Prizes in science

This article reviews the Nobel history since inception which shows that the Prizes in science conferred on individuals in the first 50 years are shifting to the Prizes being shared. It is,in part, because the science has become more complex, collaborative, expansive, and expensive. With the critical need for teamwork to tackle Big Science, we recommend that the policy of “no more than three” sharing the Prize be loosened on case by case basis and the nomination be made open for scientific organisations. We also suggest concrete steps for improving the gender gap among the Nobel Laureates. This necessitates proactive nominations of Nobel worthy work done by women and making structural changes in Nobel committees toward better gender ratio. Finally, our analysis shows that the U.S. is emerging as a Nobel Super Power leading to a divide not only with European countries but the world at large.

Predictions for the lab of the future

There are so many innovations waiting to serve scientists that it is quite incredible they have not been adopted sooner. In this insightful opinion piece, Simon Bungers, co-founder of labfolder, an electronic laboratory notebook for researchers, outlines his vision on how scientists’ lives will be transformed by wider adoption of solutions supported by artificial intelligence and the emergence of the likes of blockchain-based solutions to gain greater data reproducibility.