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Technology Explainers

Compatibility with your existing CPU and GPU infrastructure, efficient digital representations of probability distributions, and efficient arithmetic on probability distributions. The technology explainers below provide more details on how Signaloid's technology works, from the underlying mathematics to the engineering implementation and applications.

Quantitative Finance

Illustration for "Avoid Monte Carlo's Variability" article, showing a binary pattern transforming into an abacus.

Lower Variability Running HJM Models, Using Signaloid's UxHw Technology

Quantitative Finance

Illustration for "Avoid Monte Carlo's Variability" article, showing a binary pattern transforming into an abacus.

Lower Variability Running HJM Models, Using Signaloid's UxHw Technology

Quantitative Finance

Illustration for "Avoid Monte Carlo's Variability" article, showing a binary pattern transforming into an abacus.

Lower Variability Running HJM Models, Using Signaloid's UxHw Technology

General

Use Geometry to Estimate π

General

Use Geometry to Estimate π

General

Use Geometry to Estimate π

General

Explicitly Access the UxHw's Functionality Using the UxHw API

General

Explicitly Access the UxHw's Functionality Using the UxHw API

General

Explicitly Access the UxHw's Functionality Using the UxHw API

Quantitative Finance

Computing VaR Using Signaloid's UxHw Technology

Quantitative Finance

Computing VaR Using Signaloid's UxHw Technology

Quantitative Finance

Computing VaR Using Signaloid's UxHw Technology

Quantitative Finance

Using QuantLib on the Signaloid Cloud Compute Engine

Quantitative Finance

Using QuantLib on the Signaloid Cloud Compute Engine

Quantitative Finance

Using QuantLib on the Signaloid Cloud Compute Engine

General

Implementing Gaussian Processes with Uncertain Inputs Using UxHw

General

Implementing Gaussian Processes with Uncertain Inputs Using UxHw

General

Implementing Gaussian Processes with Uncertain Inputs Using UxHw

Manufacturing/Robotics

Use the C0-microSD in your Next Low SWaP System Design

Manufacturing/Robotics

Use the C0-microSD in your Next Low SWaP System Design

Manufacturing/Robotics

Use the C0-microSD in your Next Low SWaP System Design

Manufacturing/Robotics

C0-microSD as Hot-Swappable FPGA Module in Low SWaP Systems

Manufacturing/Robotics

C0-microSD as Hot-Swappable FPGA Module in Low SWaP Systems

Manufacturing/Robotics

C0-microSD as Hot-Swappable FPGA Module in Low SWaP Systems

Manufacturing/Robotics

C0-microSD as a General-Purpose RISC-V SoM in Low SWaP Systems

Manufacturing/Robotics

C0-microSD as a General-Purpose RISC-V SoM in Low SWaP Systems

Manufacturing/Robotics

C0-microSD as a General-Purpose RISC-V SoM in Low SWaP Systems

General

Million-Iteration Monte Carlo Equivalent on a Fluid Flow Model in Under 600 Microseconds

General

Million-Iteration Monte Carlo Equivalent on a Fluid Flow Model in Under 600 Microseconds

General

Million-Iteration Monte Carlo Equivalent on a Fluid Flow Model in Under 600 Microseconds

General

Using UxHw Technology to Quantify Uncertainty of AI/ML Model Outputs

General

Using UxHw Technology to Quantify Uncertainty of AI/ML Model Outputs

General

Using UxHw Technology to Quantify Uncertainty of AI/ML Model Outputs

General

Representation and Propagation Error Bounds for Dirac Mixtures

General

Representation and Propagation Error Bounds for Dirac Mixtures

General

Representation and Propagation Error Bounds for Dirac Mixtures

General

Monte Carlo Integration of Nonlinear Functions

General

Monte Carlo Integration of Nonlinear Functions

General

Monte Carlo Integration of Nonlinear Functions

General

Generating Samples TTR family of Distribution Representations

General

Generating Samples TTR family of Distribution Representations

General

Generating Samples TTR family of Distribution Representations

General

Benchmarking UxHw Against Monte Carlo Methods

General

Benchmarking UxHw Against Monte Carlo Methods

General

Benchmarking UxHw Against Monte Carlo Methods

General

Using the Signaloid UxHw TTR Bit-Level Distribution Representation for Parametric Distributions

General

Using the Signaloid UxHw TTR Bit-Level Distribution Representation for Parametric Distributions

General

Using the Signaloid UxHw TTR Bit-Level Distribution Representation for Parametric Distributions

General

From Crisis to Optimization: Migrating from DynamoDB to S3 Object Storage

General

From Crisis to Optimization: Migrating from DynamoDB to S3 Object Storage

General

From Crisis to Optimization: Migrating from DynamoDB to S3 Object Storage

General

How We Increased Availability Using a CDN and EC2 Auto-Scaling

General

How We Increased Availability Using a CDN and EC2 Auto-Scaling

General

How We Increased Availability Using a CDN and EC2 Auto-Scaling