Discover how a new framework for modeling cyber risk, powered by secure data sharing and industry collaboration, is transforming cybersecurity. Learn how businesses can finally estimate their risk exposure, compare their defenses against peers, and proactively strengthen their security posture.
Discover how online change point detection uses advanced statistical methods to identify crucial shifts in data, enabling timely and effective responses across various fields. Perfect for anyone looking to enhance their analytical skills and decision-making processes.
Explore the critical role of hyperparameter tuning in double machine learning for causal inference. Learn how it impacts the accuracy and reliability of causal estimates in complex models.
Explore the power of unusual dataset combinations in scientific research. Learn how atypical data strategies can unlock high-impact discoveries, foster innovation, and broaden the dissemination of scientific knowledge.
Explore the unexpected finding that the structure of your social network might not impact the adoption of new ideas and technologies as much as you believe. Discover why information relevance could be more illusory than real.
Explore the groundbreaking approach to NFT incentives through a DAG-based referral model, designed to maximize connections and reward creators in the digital asset space.
Discover how hormesis, the principle of 'too little, too much, and just right,' offers a novel framework to align AI with human values, preventing unintended consequences in superintelligent systems.
Explore the groundbreaking integration of machine learning and small area estimation, and how this powerful combination is set to reshape data analysis and prediction in surveys and beyond.
Can cryptocurrencies truly be fair? A deep dive into the challenges of creating transaction fee systems resistant to collusion, revealing the surprising limits and innovative attempts to overcome them.
Balancing algorithmic fairness and accuracy is a key challenge in AI. A new framework provides actionable strategies for policymakers and developers aiming to create equitable AI systems, with testable methods to challenge discriminatory outcomes.
