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What is Neuri?

We are engaged in cutting-edge research focused on artificial intelligence to gain significant advantages in the realm of financial investments, utilizing innovative neuro-prediction techniques to illuminate market dynamics. Our methodology incorporates sophisticated deep reinforcement learning algorithms and graph-based learning methodologies, along with artificial neural networks, to adeptly model and predict time series data. At Neuri, we prioritize the creation of synthetic datasets that authentically represent global financial markets, which we then analyze through complex simulations of trading behaviors. We hold a positive outlook on the potential of quantum optimization to elevate our simulations beyond what classical supercomputing can achieve, further enhancing our research capabilities. Recognizing the ever-changing nature of financial markets, we design AI algorithms that are capable of real-time adaptation and learning, enabling us to uncover intricate relationships between numerous financial assets, classes, and markets. The convergence of neuroscience-inspired models, quantum algorithms, and machine learning in systematic trading is still largely unexplored, presenting an exciting frontier for future research and innovation. By challenging the limits of existing methodologies, we aspire to transform the formulation and execution of trading strategies in this dynamic environment, paving the way for unprecedented advancements in the field. As we continue to explore these avenues, we remain committed to advancing the intersection of technology and finance.

What is Intel Quantum Simulator?

The framework offers a comprehensive representation of qubit states without the need to directly depict quantum gates and processes through matrices. To enable effective communication among distributed resources tasked with the storage and processing of quantum states, Intel-QS utilizes the MPI (message-passing-interface) protocol. As a shared library, Intel-QS is designed to integrate smoothly with application programs, empowering users to harness its high-performance capabilities for circuit simulations. This library is versatile enough to be compiled across a variety of systems, ranging from personal laptops to powerful computing server infrastructures. This adaptability not only allows for a broad range of applications but also enables developers to customize their solutions according to the unique requirements of their quantum computing initiatives. Moreover, the ability to run on different platforms ensures that Intel-QS can cater to both individual and enterprise-level projects alike.

Media

Media

Integrations Supported

Docker
Python

Integrations Supported

Docker
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Neuri

Date Founded

2018

Company Location

Singapore

Company Website

www.neuri.ai/

Company Facts

Organization Name

Intel Quantum Simulator

Company Website

github.com/intel/Intel-QS

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Categories and Features

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