@@ -135,12 +135,29 @@ export function BFHTimeline () {
tag='Workshop Session I.'
color='var(--text-primary)'
csstag="aiworkshop"
heading="Modern problems require modern solutions"
text="Computational technologies are getting more in the focus of scientific research. Integration of generative KI like GenAI bypass limitations and offers potential risks - learn how to implement Artificial Intelligence."
>
<h5>Modern problems require modern solutions</h5>
<span>Computational technologies are getting more in the focus of scientific research. Integration of generative KI like GenAI bypass limitations and offers potential risks - learn how to implement Artificial Intelligence.
</span>
<divid="aiworkshop"style={{display:"none"}}>
So much more
<p>
This workshop hosted by xyna.bio was designed to introduce researchers to the integration of AI into scientific workflows. Wiktoria Palak and
Julian Borbeck, both experts in Molecular Biology, Biochemistry, and Bioinformatics, led the workshop, focusing on practical applications of AI
in biosciences. The session provided attendees with hands-on experience and a platform for exploring how AI can address research inefficiencies
and open new opportunities for innovation.
</p>
<p>
The workshop was structured around two main components: theoretical insights and a practical group exercise. In the theory portion, we gained a deeper
understanding of AI applications, including neuro-symbolic AI and its role in enhancing research methodologies. The instructors shared their experiences
developing AI tools like those at xyna.bio, offering participants valuable knowledge on the AI development process.
</p>
<p>During the group work, we brainstormed ideas for AI tools that could simplify lab work for scientists. This activity not only fostered creative
thinking but also encouraged collaboration, as we discussed potential AI solutions that could streamline tasks like data analysis and experimental
design.
</p>
<p>
By the end of the workshop, participants walked away with practical insights and actionable skills. We felt equipped to start implementing AI
solutions in our own research projects, identifying specific areas where AI could improve efficiency and productivity in the lab.
