I talk over with organisations which have not yet properly began with Data Science (DS) and Machine Learning (ML), they often tell me that they should run an information integration project first,...
is one thing in common between memories, oscillating chemical reactions and double pendulums? All these systems have a basin of attraction for possible states, like a magnet that attracts the system towards certain...
Jupyter AI brings generative AI capabilities right into the interface. Having an area AI assistant ensures privacy, reduces latency, and provides offline functionality, making it a strong tool for developers. In this text,...
While working at a biotech company, we aim to advance ML & AI Algorithms to enable, for instance, brain lesion segmentation to be executed on the hospital/clinic location where patient data resides, so it's...
On March third, Google officially rolled out its Data Science Agent to most Colab users without spending a dime. This will not be something brand latest — it was first announced in December last...
previous article on organizing for AI (link), we checked out how the interplay between three key dimensions — ownership of outcomes, outsourcing of staff, and the geographical proximity of team members — can...
With the brand new age of problem-solving augmented by Large Language Models (LLMs), only a handful of problems remain which have subpar solutions. Most classification problems (at a PoC level) will be solved by...
While some games, like rock-paper-scissors, only work if all payers choose their actions concurrently, other games, like chess or Monopoly, expect the players to take turns one after one other. In Game Theory, the...