Prediction markets reached $9B (Polymarket) and $11B (Kalshi) valuations at the end of 2025, yet 0% of this capital can be borrowed against, creating DeFi's most extreme utilization gap.

The bank said rising volumes, tighter market structure and early institutional engagement are pushing prediction markets beyond their gambling roots toward a new asset class.

AI now shapes your loan approval and interest rate. Learn how lenders use algorithms, what rights you have under federal law ...

We’re living in a time when data shapes almost every choice we make, from picking a winning football team to deciding where to invest our savings. This shift toward calculated predictions is changing ...

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

ADM, Evolving Systems’ big data platform, securely stores and analyzes massive telecom data, from billing to network reports, providing the foundation for AIQ’s predictive insights. Together, ADM and ...

Abstract: The precise prediction of loan defaults is very important for banks and other financial institutions to mitigate their risk. This study evaluates the performance of three different machine ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...