From theory to practice: recap of Constructor's AI & ML workshop
13 December, 2024
Calcularis is an AI-powered learning program designed to help children overcome math challenges through a personalized, research-backed approach. Calcularis applies neuropsychological principles to assist children with fundamental math concepts. The program supports a range of learners, including those with dyscalculia or difficulties in math, by adapting to each child's individual learning pace and needs.
Workshop highlights
40+ participants
from diverse research backgrounds
Over 15 hours of content
combining theory with practical applications of AI & ML tools like Constructor Research for scientific research
7 expert speakers
from Constructor Tech’s network
Keynote presentations
Introduction to ML by Kseniia Alekseitseva:
Kseniia started things off by simplifying the core concepts of machine learning, setting the stage for what was to come.
Mastering Python for ML by Adriano Persegani:
Adriano’s hands-on session gave participants the skills to start coding their own machine-learning models, making it easy to apply ML in their research.
Modern Machine Learning with Ildus Sadrtdinov and Ivan Shchekotov:
Ildus and Ivan dove into advanced topics like neural networks and diffusion networks, keeping the audience engaged with the latest trends in ML.
Real-world use cases:
Experts shared real-world applications like using large language models to predict enzyme pH levels (Petr Popov) and applying sparse representation in 2D materials (Andrey Ustyuzhanin), showing how ML and Constructor Research are already making an impact.
Key takeaways
By the end of the workshop, attendees walked away with both new knowledge and practical tools to apply in their own research.
Key takeaways included:
A solid ML foundation:
Attendees got a strong grasp of ML basics, from supervised learning to neural networks.
Hands-on experience:
The workshop moved beyond theory with live coding sessions showcasing AI and ML's impact on science and a demonstration of Constructor Research for accelerating the research lifecycle through AI-driven computational modeling.
Networking and collaboration:
The Q&A sessions and roundtable discussions gave everyone a chance to connect, share ideas, and learn from one another.
What's next
The future of AI and Machine Learning in research is exciting. These technologies are speeding up data analysis, making predictions more accurate, and uncovering insights that were once hidden.
As AI and ML continue to evolve, Constructor Tech remains committed to supporting the research community through workshops and resources that help researchers stay ahead of the curve. Keep an eye out for more opportunities to learn and grow.
Curious to see how Constructor Research can support your research journey? Schedule a demo to discover how our platform can help you achieve your goals.
