AI

Many consider data privacy regulation as bad for businesses. But taking into consideration recent trends, it could turn out to be an advantage.

We believe four main domains need to be adressed in order to pave the way for even more AI made in Europe (Part 1 of2)

LEAM represents the opportunity to create Large Models, made in Europe. In the following, we will outline why Europe needs to face the changes in the AI field.

In our latest blog series, we want to highlight how 'AI made in Europe' is actually a lot stronger than often perceived.

A look into Large AI Models, their impact and why leading European institutions in the field of AI will now cooperate in building their own Large Models.

Find out how to patent your AI solution with these quick hacks

As an early stage startup your most valuable asset is your idea, this guide will help you patent your AI solution

Why we believe that in order to build AI, a more collaborative approach is needed.

#AI22 - No. 10 of 10

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#AI22 - No. 8 of 10

30% of all screening centres in Germany actively use the Vara platform and we’re the first company in the world with large-scale real-world evidence from clinical routine. This comes down to our full-stack approach: We’re reimagining the entire workflow instead of integrating AI as a standalone plug-in.

#AI22 - No. 7 of 10

Breast cancer is a devastating and deadly disease, yet it doesn’t need to be. When caught early, the vast majority of women survive. AI is ready to take on this fight now. But it requires a new approach to democratise access to early detection worldwide.

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#AI22 - No. 1 of 10

The use of AI technologies like computer vision is rapidly increasing in the retail industry. AI-enhanced retail holds the promise to eliminate operational inefficiencies and provide shoppers with frictionless in-store experiences. In this article, we’ve put together a list of the most innovative computer vision startups in the retail space.

Enabling flexible data selection with the SiaSearch API

From hiring the right entrepreneurs, to identifying a second-to-none business opportunity, to validation with our network of advisors and industry partners.

Causal inference techniques along with business analytics approaches unravel what truly changes your KPIs, while predictive modeling falls flat.