Large-scale Distributed Optimization
One approach inspired by human intelligence is the idea that complex thinking and decision-making are often distributed. Since humans...
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The future of AI for decision-making
In their latest blog posts, our experts explain where we are travelling to- and where we are coming from
PredApp
- Jun 18, 2020
- 7 min
Stochastic Network Control
How can you make the best business decisions to optimize the balance between cost and quality? Most organizations apply a trade-off...
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PredApp
- Mar 11, 2020
- 4 min
How AI should and can cope with multiplying agents?
Certain phenomena underlie the dynamics of complex environments, whether they are natural weather systems and epidemics; designed...
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PredApp
- Sep 8, 2019
- 3 min
How much computation do Gaussian Processes really need?
At Predapp we are not afraid to tackle the problems other common machine learning methods (like deep learning) find difficult. We...
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PredApp
- Aug 13, 2019
- 5 min
How AI solutions can triumph over the human mind?
As the world grows ever more interconnected and complex, making good decisions becomes increasingly difficult – and necessary....
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PredApp
- Jun 18, 2019
- 6 min
Social AI and Principled AI for Decision Making
Intelligent agents are all around us: under Netflix’s movie suggestions; behind Siri’s weather forecasts; inside car suspensions and...
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PredApp
- Oct 9, 2018
- 5 min
Probabilistic models as basis for for principled AI decision-making
Predapp’s platform uses autonomous AI agents that make decisions based on mathematical principles. Probabilistic modelling underpins...
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PredApp
- Aug 8, 2018
- 2 min
Training with marginal likelihood
Data augmentation aims to make the predictions of the classification system insensitive to modifications of the input that do not change...
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PredApp
- Feb 7, 2018
- 5 min
What is Principled AI?
We at Predapp think of ourselves as the Principled AI company. It’s a phrase that some people outside of the industry might find a bit...
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PredApp
- Oct 9, 2017
- 6 min
Approximate the posterior not the model
Many people like to use Gaussian process (GP) models. Even the most expert deep learning researchers will use a GP for regression...
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