What we’re about
MEETUPS ARE TO BE HELD ON THE LAST WEDNESDAY OF EVERY MONTH IN 2024
Turbine's AI meetups are meant for all researchers, engineers, scientists and students working on hard machine learning problems. It is created to dissect and understand new developments in ML together, and share our experience from real-life projects.
Presenters cover the latest impactful AI models, aiming to dive much deeper into each topic than what standard science communication formats allow. Thus, they'll expect you to have a working knowledge of machine learning.
In some sessions, we are going deep to understand recently published models and architectures - with working code whenever possible & intro to math background whenever needed. In others, presenters share their learnings working on models of real-life applications. Our goal is to give thorough knowledge to the audience, that you will use in model design on a daily basis.
Turbine is a computational biology company focusing on cancer, so expect lots of topics infused with biology. Yet, we are also a curious community, inviting you to join even if your personal interest centers around other domains. We also host completely biology-free events about computer vision, NLP and generic AI topics to cover the latest scientific advancements.
Upcoming events (1)
See all- Neural ODEs - Where science meets AITurbine Kft., Budapest
ENTRY DETAILS
Please download or print these QR codes for entry and exit: https://turbine.ai/qrcode_may/
The QR code readers are extraordinarily quirky and slow (sorry). Please increase your phone's screen brightness to maximum and hold it at a 5-10 cm distance from the reader to help it focus. Please hold onto the codes as you will need them both in and out! We will be waiting for you in the lobby to help.AGENDA
In everyday science, Ordinary Differential Equations (ODE) are essential for modelling various natural phenomena, including physical processes, chemical reactions, and biological systems. More recently, it was shown by the academic ML community that ODE-s can be successfully used in various Machine Learning (ML) architectures as well, coining the term Neural ODE-s. The synergy of ML and ODE-s can open new doors in everyday science by allowing to model systems with ever-increasing complexity, where abundant data is available.We, at Turbine, would like to invite everyone who is interested to join us for this intro session on Neural ODE-s. We will guide you through the mathematics of the topic and show several application examples as well. No advanced mathematical knowledge is required outside of function derivatives and matrix multiplication. The expected duration of the intro session is around 70-80 minutes.
See you at the end of May!