Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Fraud.net Reviews & Ratings
    4.6 out of 5 stars 56 Ratings
    Company Website for Fraud.net
  • Qloo Reviews & Ratings
    5.0 out of 5 stars 23 Ratings
    Company Website for Qloo
  • Gemini Enterprise Agent Platform Reviews & Ratings
    4.3 out of 5 stars 1,161 Ratings
    Company Website for Gemini Enterprise Agent Platform
  • IUX Reviews & Ratings
    4.0 out of 5 stars 968 Ratings
    Company Website for IUX
  • QUODD Reviews & Ratings
    5.0 out of 5 stars 1 Rating
    Company Website for QUODD
  • NINJIO Reviews & Ratings
    4.8 out of 5 stars 416 Ratings
    Company Website for NINJIO
  • Vantage Reviews & Ratings
    4.4 out of 5 stars 15,963 Ratings
    Company Website for Vantage
  • Google Cloud Speech-to-Text Reviews & Ratings
    4.5 out of 5 stars 443 Ratings
    Company Website for Google Cloud Speech-to-Text
  • DXcharts Reviews & Ratings
    5.0 out of 5 stars 28 Ratings
    Company Website for DXcharts
  • Capitalcore Reviews & Ratings
    5.0 out of 5 stars 90 Ratings
    Company Website for Capitalcore

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 Fabric for Deep Learning (FfDL)?

Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have greatly improved the ease with which deep learning models can be designed, trained, and utilized. Fabric for Deep Learning (FfDL, pronounced "fiddle") provides a unified approach for deploying these deep-learning frameworks as a service on Kubernetes, facilitating seamless functionality. The FfDL architecture is constructed using microservices, which reduces the reliance between components, enhances simplicity, and ensures that each component operates in a stateless manner. This architectural choice is advantageous as it allows failures to be contained and promotes independent development, testing, deployment, scaling, and updating of each service. By leveraging Kubernetes' capabilities, FfDL creates an environment that is highly scalable, resilient, and capable of withstanding faults during deep learning operations. Furthermore, the platform includes a robust distribution and orchestration layer that enables efficient processing of extensive datasets across several compute nodes within a reasonable time frame. Consequently, this thorough strategy guarantees that deep learning initiatives can be carried out with both effectiveness and dependability, paving the way for innovative advancements in the field.

Media

Media

Integrations Supported

Integrations Supported

Caffe
Kubernetes
PyTorch
TensorFlow
Torch

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Neuri

Date Founded

2018

Company Location

Singapore

Company Website

www.neuri.ai/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

developer.ibm.com/open/projects/fabric-for-deep-learning-ffdl/

Categories and Features

Deep Learning

Not specified

Finance

Not specified

Neural Network

Not specified

Quantum Computing

Not specified

Categories and Features

Deep Learning

Not specified

Neural Network

Not specified

Popular Alternatives

Popular Alternatives

InQuanto Reviews & Ratings

InQuanto

Quantinuum
QX Simulator Reviews & Ratings

QX Simulator

Quantum Computing Simulation
LIQUi|> Reviews & Ratings

LIQUi|>

Microsoft