Curious AI’s solutions are not limited by or bound to any existing platform or technology, whether RPA, ERP or databases. We brew our own.
Curious AI develops advanced AI algorithms and solutions. We aim to generalise (AGI) our machine learning technology components for a software solution capable of human-level knowledge work: a digital co-worker.
For Curious AI’s goal of delivering automated knowledge work solutions, there are 3 crucial R&D focus areas: learning, perceiving, and autonomy.
First, we are best known for our extensive work on semi-supervised machine learning, including the seminal paper on Ladder neural networks. Helsinki’s long tradition in unsupervised learning is a definite advantage. Second, Curious AI has worked for years on perception systems. Our research interests include machine attention, segmentation (with the published Tagger technology), and perceptual grouping. Third, Curious AI is a forerunner in the field of autonomy via our research in e.g. model-based reinforcement learning and model-predictive control.