jd@acruxcs.com

Artificial Intelligence
AI

Artificial Intelligence

AI design and training

Neural Network
NN

Neural Network

NN design and training

Machine Learning
ML

Machine Learning

ML design and training

Projects
8

Projects

Projects

AI

AI

Digital Production Ecosystem

The value of AI for business is confirmed by many examples of success. Adding machine learning and cognitive operations technologies to traditional business processes and applications improves usability and productivity. However, the introduction of AI is associated with certain difficulties. Only a few companies use the full potential of AI, and there are several reasons for this. For example, if the company does not use cloud technologies, the cost of computing for AI will be too expensive. In addition, AI is difficult to develop and requires the involvement of scarce specialists. Understanding where and why AI is needed, as well as solving the problem of attracting third-party service providers, will help minimize these problems.
NN

NN

Security is Critical

Neural networks are one of the most popular classes of algorithms for machine learning. In financial analysis, they are most often used for forecasting, creating your own indicators, algorithmic trading, and risk modeling. Despite all this, the reputation of neural networks is damaged, because the results of their application can be called unstable. Acrux Cyber Services offers stable neural network development based on the latest trends in the Artificial intelligence market. We are identifying a new type of instability, and it doesn't look like they can make decisions consistently. And instead of "patching holes" by including conflicting examples in training samples, Acruxcs explores and fixes problems.
ML

ML

Train Everyone

The scope of machine learning is constantly expanding. Ubiquitous informatization leads to the accumulation of huge amounts of data in science, manufacturing, business, transport, healthcare. The arising tasks of forecasting, management and decision-making often come down to training on precedents. Previously, when there was no such data, these tasks were either not posed at all, or were solved by completely different methods. Acrux Cyber ​​Services provides the best conditions for writing machine learning software, where it takes a few minutes to learn and the result is 0.098% error.
8

Projects

Selective Projects

1 project for clustering industries by financial criteria;
2 HFT trading and volatility modeling;
3 futures trend after portfolio investment strategy;
4 extracting forecasts from financial statements using neural networks;
5 study of empirical behavior in the stock market;
6 hybrid model for predicting future price correlation coefficients of two assets;
7 basic forward contracts and hedging;
8 financial engineering project for options valuation methods;