Towards Biomedical Neurosymbolic AI: From Knowledge Infrastructure to Explainable Predictions

Leveraging Machine Learning & Automation to Systematically Guide Synthetic Biology

We are excited to announce our annual AI4b.io spring symposium!

Speakers: Prof. dr. Jingyuan Fu (University Medical Center Groningen) and Dr. Thomas Abeel (Technical University Delft) The gut microbiome…

Attend the AI4b.io webinar with a presentation by one of the founding fathers of FAIR data! Barend Mons will talk about FAIR (Findable…

Atinary Technologies is a Swiss-American deeptech startup that develops market-leading ML algorithms and technology tools to revolutionize…

The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. I will discuss various…

High-throughput experiments combined with emerging machine learning (ML) technologies are enabling data-centric biological design workflows…

From Screening to Production: a Holistic Approach of High-throughput Modelbased Bioprocess Development. A significantly more efficient…

Leveraging advanced mechanistic modelling and the generation of high-quality multi-dimensional data sets, machine learning is becoming an…

The high dimensionality and practically infinite size of the sequence space requires effective techniques to explore, navigate and improve…

Artificial intelligence is recognized as one of the key drivers of modern Science & Innovation in many disciplines, including food systems…