Here, at GS Technologies, we are inspired by Andrew Ng’s words “Artificial Intelligence is the new electricity”
and we strongly believe that information drives the modern world forward. In our vision, the key factors
in taking businesses to the next level are good data analytics and visualisation, alongside Artificial Intelligence
and human expertise. Besides that, we believe that all companies and businesses should use cutting-edge technology
in combination with responsive design and engaging user experience by leveraging GS Technologies products,
services and expertise.
We devote ourselves towards developing new and reliable technologies; in a world which becomes more and more
programmatic, we care about the modularity and the quality of our products. Moreover, we appreciate diversity
of thought and the passion for research, discovery as well as innovation but also the focus on users and
customer experience. As the modern world is always changing, adaptability and fast learning are highly endorsed
at GS Technologies. Since learning is very important to us, we love sharing our knowledge and passion for
GS Technologies is a Romanian technology company which provides exceptional experiences in the digital environment and connects
it to the real world through Data Analytics and Artificial Intelligence. Our work covers a wide
variety of fields, some of which include: automating industrial or small scale processes, enhancing
web services quality, helping people understand and analyse their data in order to improve their
businesses and activities based on it.
In this project we have developed a training set for a stock price predictor based on the tweets about that company and its
previous prices. The training set is useful for multiple machine approaches, starting
from the traditional ones, such as linear or logistic regression, up to Deep Learning
techniques, including Recurrent Neural Networks.
Finally, the principle presented in this project can be extended in multiple areas, such as marketing, business analytics
or investment management, which makes this project an efficient and innovative tool
in regression and classification problems.
Image classification using Convolutional Neural Networks
This project is a proof of concept for Convolutional Neural Networks, which uses multilayer perceptrons and aims to classify
the main element of a picture. The convolution simulates the response of an individual
neuron to a visual stimuli. The applications of CNN are wide, including tasks such
as face recognition, autonomous vehicles vision or document analysis.