Silas implements novel ensemble trees based learning algorithms that yield high predictive performance when dealing with structured data.
Silas adopts various high-performance computing techniques and hardware optimisations to ensure that the computation is fast and memory-efficient. Silas is built to handle big data and it can be deployed on high performance clusters.
Silas uses formal verification techniques to mathematically verify that the prediction model satisfies user specifications. Further, user specifications can be enforced during the training phase.
Silas adopts the latest automated reasoning techniques to reason about the predictive model and provides insights on the rationale behind the decision-making, including model explanation, feature importance, and more.
Silas Pro enhances user experience through modern graphical user interfaces (GUI) and integration with eXplainable AI (XAI) features.
Video tutorials for Silas Pro. 中文视频教程.
Please email our support team regarding sales of Silas Pro/Team/Enterprise subscriptions or our customised data analytics and AI services.
Check whether the patient has diabetes, heart disease, cancer etc. based on medical test results.
Predict referee decisions and match outcomes. Adopted by bookmakers in European Top 5 football leagues.
Classify client's credit based on Know Your Customer data and banking history. Analyse blockchain illegal transactions.
Estimate concrete strength based on raw material mixes and time. Give a warning when the strength may be low, thereby reminding the tester to do further testing and improve construction safety.
Know which investment has the best return. Stock market and high volume trading analysis.
Technical Overview Slides.
Journal Paper. Preprint. BibTex.