Machine Learning
We know how to torture data to make a full confession.
We master various torture instruments: CNN, RNN, GNN, SVM, PCA, GradientBoosting Trees
Knowledge Graphs
We know how to interleave deep learning with knowledge graphs.
We know how to build domain ontologies
Natural Language Understanding
We know how to analyse text to support precise reasoning and question answering.
Here is a puzzle for you:
In a scene from the Friends TV series, Monica is looking at Ross. Ross is looking at Rachel.
Monica is married; Rachel is not. Is a married person looking at an unmarried one?
Our NLU solutions are able to solve such texts.
We know how to adapt and fine tune language models to specific problems.
Image Processing
We know how: to use encoded images for se-quences or volumes of images;
to combine text with images;
to learn from labeled or unlabeled images with contrastive learning, ViT, or Diffusion Models;
to put ML to a diet: with ablation studies, knowledge distillation, fewshot learning
