From Manual to Machine: AI impact in modern research

The market for research-supporting tools is saturated and rapidly evolving, so scientists either turn back to traditional and safe methods that take up time and manual work, or use AI programs to automate their approach and speed up discovery. 

 

Join us for the webinar to hear our experts' experience and opinion on the impact of AI in modern research.

Who should attend?

1. Researchers and scientists looking to integrate AI into their research for faster testing, increased reproducibility, and efficient collaboration

2. Data scientists and analysts in need of automated processes for handling big amounts of data, extracting insights and reporting

3. PhD or postdoctoral students, educators and assistants who want to learn first-hand from experienced professionals and their peers about adopting these technologies

4. Anyone interested in the latest AI trends in scientific research and how they are shaping discovery and innovation

Topics covered

Addressing emerging challenges in modern research
How various AI tools can assist in scientific research
The accuracy and reliability of AI assistance in research
Advanced modelling research use cases which utilized AI tools in their process
Speaker
Prof. Dr. Stephan Roche, ICREA Research Professor at the Catalan Institute of Nanoscience and Nanotechnology
Prof Dr Stephan Roche
ICREA Research Professor at the Catalan Institute of Nanoscience and Nanotechnology

His research activities focus on the exploration of charge, phonon and spin transport in materials such as Graphene, carbon nanotubes, topological insulators and organic matter.

Moderator
Pierre Boudet photo
Pierre Boudet
Director, Business Development/Strategic Partnerships, Americas at Constructor

Got Questions? Get Answers!

AI is still a Pandora's box. That's why we encourage you to actively participate in the Q&A session. Bring your questions or send them to us beforehand to ensure valuable answers and quality advice from our experts.