By PAUL VON BÜNAU Sorting the realistic AI possibilities from the delusional fantasies is crucial…
Artificial intelligence
The full toolkit: why AI teams need to think broadly to spot the key opportunities
By JEANETTE KNIPP If you only have a hammer, everything looks like a nail. All…
Sci-fi or AI? What will a supercharged pharmaceutical industry look like?
By PAUL VON BÜNAU Fully digitised, AI-directed, in-silico drug discovery and development programs are not…
Early stopping: how to avoid the AI proof-of-concept trap
By PAUL VON BÜNAU Too many AI projects fail Proof of Concept testing due to…
Double strength: how can we better predict effective, as-yet untried, drug combinations?
By MONA SCHIRMER Some things just work better with two – but when it comes…
‘Data Science discoveries can cause a domino effect’
By HANNAH MARTIN Mona, a Student Assistant at idalab, explains why AI’s habit of turning…
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…