smart compression
background

No matter how fast today’s computers and networks are, the users will always crave for faster services. To reduce the volume of the transferred data, we usually use some sort of compression. That is why this computer sciences area will be always interesting to research and develop.

business challenges

Our task was to save space for storing huge arrays of data and reduce processing and transferring time.



value delivered

We've successfully solved this task by saving more than 50% of initial data size and approximately 30% of transferring time.



approach

We've developed a reasonably fast and smart unsupervised neural network based on the auto-encoder architecture.


you may interested in other

case studies

our expertise in

AI technologies

data mining

PCA
K-means
Decision trees
Linear models
PageRank

digital signal processing

Digital filters
DTW

machine learning

Deep learning
Probabilistic graphical models
CART
ensembles
unsupervised sound segmentation
recurrent models
bayesian approach
probabilistic programming
hmm

image processing and
computer vision

alexnet
vgg
vae

natural language
processing

PCA
TF-IDF
LDA
SVM
Naive bayes
word2vec
attention models

are you ready to see your software project getting real?

contact us


about us

Hi, we are Sciforce - a company where the integration of various branches of science builds up a powerful force to create robust software solutions. Working at the intersection of Computer Science with other technical, natural and humanitarian sciences let us go beyond traditional IT services and become both technical and scientific forces to our customers.