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Large-scale Distributed Optimization
One approach inspired by human intelligence is the idea that complex thinking and decision-making are often distributed. Since humans...
PredApp
Oct 12, 20203 min read
35 views
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...
PredApp
Jun 18, 20207 min read
1,056 views
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...
PredApp
Mar 11, 20204 min read
30 views
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...
PredApp
Sep 8, 20193 min read
73 views
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....
PredApp
Aug 13, 20195 min read
7 views
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...
PredApp
Jun 18, 20196 min read
7 views
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...
PredApp
Oct 9, 20185 min read
5 views
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...
PredApp
Aug 8, 20182 min read
6 views
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...
PredApp
Feb 7, 20185 min read
10 views
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...
PredApp
Oct 9, 20176 min read
27 views
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