By PAUL VON BÜNAU DeepMind AI’s impressive protein structure prediction accuracy hints at a huge…
What we know.
FEATURED
idalab seminar
Join us to hear from the people shaping the future of artificial intelligence.
March 12th, 2020
Signs of our times: of black holes and red flags
Dr. Kirsten Hacker
Author & Physicist
TU Dortmund
TU Dortmund
Speaker Video ▶
September 16th, 2019
How TomTom uses AI to create stellar transportation maps
Dr. Sören Sonnenburg
Director Geospatial research lab
TomTom
TomTom
Interviews
Conversations at the intersection of AI, life science and beyond.
Prof. Christoph von der Malsburg
Human Brain Project
“Learning from input statistics can be considered as a process of search in network structure space”
The Culture Section
Anything shaped by human intelligence will be touched by artificial intelligence.
The future of AI may depend on historians and musicologists
By PAUL VON BÜNAU The concept of Artificial Intelligence had a massive impact over the past…
Die Sehnsucht nach Transparenz ist eine Sehnsucht nach Begründung. Warum Algorithmen lernen sollten, eine Geschichte zu erzählen.
By PAUL VON BÜNAU Basis aller heutigen Künstlichen Intelligenz sind bekanntlich Algorithmen. Diese sind in…
What do we mean by “data”?
By SANDRA RENDGEN Some technical terms are so ubiquitous and (apparently) unambigious, that they almost…
Life Science and Healthcare
When biology becomes like physics, solutions will emerge from complexity.
Double strength: how can we better predict effective, as-yet untried, drug combinations?
Some things just work better with two – but when it comes to drug combinations,…
Drug development: how predictive algorithms could save big pharma billions
By PAUL VON BÜNAU Immense development costs and low success rates can make drug development…
AlphaFold: from accuracy to application?
By PAUL VON BÜNAU DeepMind AI’s impressive protein structure prediction accuracy hints at a huge…
Lessons we've learned
Make your own mistakes, not ours.
Is your AI project ready for Proof of Concept? Here are 3 ways to check
By PAUL VON BÜNAU Many AI projects are taken to a Proof of Concept (PoC)…
Ideation in AI: five ways to make the workshops work
By PAUL VON BÜNAU Too often, ideation is performed without structure or scrutiny. We must…
Mundane, but magical: the power of database matching
By MONA SCHIRMER With its reputation for being dull and straightforward, database matching is hardly…
Behind the scenes
The experiences and anecdotes that make us who we are.
‘Data science discoveries can cause a domino effect’
By HANNAH MARTIN Mona, a Student Assistant at idalab, explains why AI’s habit of turning…
From code to client: insights from a data scientist’s intriguing journey
By HANNAH MARTIN Lea Helmers joined idalab as a data scientist in early 2016. With…
‘Data is a small part of the story’: a glimpse into the life of a data scientist
By HANNAH MARTIN Hagen Hoferichter is a data scientist, but not just any data scientist.…
Success Stories
How AI worked and why.
Get the newsletter
News on artificial intelligence, life science and beyond, once a month in your mailbox.