🔗 Artemis user documentation
https://docs.artemis.turintech.ai/code-audit/evaluate-codebase
September 1, 2024
User documentation for Artemis
https://docs.artemis.turintech.ai/code-audit/evaluate-codebase
User documentation for Artemis
https://docs.artemis.turintech.ai/release-notes/v-1.4.0
Release notes from Artemis v 1.4.0
https://turintech.ai/case-study-improve-implied-volatility-prediction-in-financial-markets-with-machine-learning
Article on using evoML to improve implied volatility prediction
https://turintech.ai/how-to-achieve-optimal-performance-code-optimisation-in-the-ai-ecosystem
Article on using code optimisation in the AI ecosystem
https://turintech.ai/accelerate-esg-reporting-with-artemis-ai
Article on how Artemis AI can help accelerate ESG reporting
https://turintech.ai/evoml-success-stories-improve-accuracy-of-credit-scores-with-ai
Use case on improving the accuracy of credit scores with evoML
https://turintech.ai/optimising-bank-stress-testing
Use case on using evoML to improve bank stress testing
https://turintech.ai/evoml-success-stories-using-market-sentiment-analysis-to-generate-more-accurate-and-efficient-trading-decisions
Use case on using evoML to generate better trading decisions
https://aclanthology.org/2022.evonlp-1.7
Offensive language detection publication
https://turintech.ai/artificial-intelligence-for-hedge-funds-how-can-machine-learning-and-code-optimisation-generate-greater-alpha
Article on how AI can be used for hedge funds
https://turintech.ai/improving-energy-efficiency-in-the-financial-sector-with-artemis-ai
Article on using Artemis AI to improve energy efficiency in the AI sector
https://turintech.ai/customer-churn-prediction-using-machine-learning-a-step-by-step-guide-with-evoml
Article on predicting customer churn with machine learning
https://turintech.ai/four-factors-to-consider-when-building-and-scaling-ai
Article on key factors to keep in mind when building and scaling AI