Sem Vijverberg (VU): Long-lead time predictions of weather and its impact using AI
Our society is vulnerable to weather variability and extremes. Think of energy consumption and production, potential
crop failures, forest fires, etcetera. Climate change can make weather more extreme, and at the same time we become more and more
reliant on renewable energies.
We are climate experts specializing in predicting weather up to months ahead using a range of Machine Learning techniques. Predicting at these long lead-times is notoriously difficult. Every region and season is different, and proper forecasts relies on expert knowledge.
We have a track-record of successful forecasts for Europe and the US. Still, there is an untapped potential to scale-up our methods. Our dream is to create a spin-off that unites Climate and AI experts. We will create targeted predictions that meet the stakeholders’
specific needs, and at the same time, we continue to support the scientific community by publications and open-source software.
Syranos Tjee (HvA): Recipe Creation I want to do something about food waste and my idea is Recipe Creation. People often don’t know what to do with their leftovers and also often throw leftovers away, which is a shame. With Recipe Creation you can scan your leftover food and it will generates a recipe. My […]
Tiago Matos (Amsterdam UMC): Dermoscope We developed a scientific-based app capable to quickly identify which personal care products are safe and effective for each specific individual’s skin type. We use on average 10 PCPs daily, that means more than 500 different chemicals that we put in our skin every day. Many products still contain dangerous […]
Edcel Salumbides (VU): Non-invasive pre-symptomatic illness detection in farm animals We are developing a non-invasive breath sensor for cows, for the early detection of illnesses well before observable symptoms. The automated and frequent health monitoring would enable timely and precise feed adjustments by farmers to stop disease progression. The technology is derived from the extremely […]