Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
We engage in pioneering research on artificial intelligence to attain significant advantages in financial investment, shedding light on the market through innovative neuro-prediction techniques. Our approach integrates advanced deep reinforcement learning algorithms and graph-based learning with artificial neural networks to effectively model and forecast time series data. At Neuri, we focus on generating synthetic data that accurately reflects global financial markets, subjecting it to intricate simulations of trading behaviors. We are optimistic about the potential of quantum optimization to enhance our simulations beyond the capabilities of classical supercomputing technologies. Given that financial markets are constantly changing, we develop AI algorithms that adapt and learn in real-time, allowing us to discover relationships between various financial assets, classes, and markets. The intersection of neuroscience-inspired models, quantum algorithms, and machine learning in systematic trading remains a largely untapped area, presenting an exciting opportunity for future exploration and development. By pushing the boundaries of current methodologies, we aim to redefine how trading strategies are formulated and executed in this ever-evolving landscape.
Description
NeuroSplit is an innovative adaptive-inferencing technology that employs a unique method of "slicing" a neural network's connections in real time, resulting in the creation of two synchronized sub-models; one that processes initial layers locally on the user's device and another that offloads the subsequent layers to cloud GPUs. This approach effectively utilizes underused local computing power and can lead to a reduction in server expenses by as much as 60%, all while maintaining high levels of performance and accuracy. Incorporated within Skymel’s Orchestrator Agent platform, NeuroSplit intelligently directs each inference request across various devices and cloud environments according to predetermined criteria such as latency, cost, or resource limitations, and it automatically implements fallback mechanisms and model selection based on user intent to ensure consistent reliability under fluctuating network conditions. Additionally, its decentralized framework provides robust security features including end-to-end encryption, role-based access controls, and separate execution contexts, which contribute to a secure user experience. To further enhance its utility, NeuroSplit also includes real-time analytics dashboards that deliver valuable insights into key performance indicators such as cost, throughput, and latency, allowing users to make informed decisions based on comprehensive data. By offering a combination of efficiency, security, and ease of use, NeuroSplit positions itself as a leading solution in the realm of adaptive inference technologies.
API Access
Has API
No
API Access
Has API
Yes
Integrations
JavaScript
No
Python
No
Swift
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Neuri
Founded
2018
Country
Singapore
Website
www.neuri.ai/
Vendor Details
Company Name
Skymel
Country
United States
Website
skymel.com/neurosplit.html
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No