Award-winning presentation recognizes AI-CVD-HF heart failure prediction model leveraging coronary artery calcium (CAC) scans ...

Radiology is rapidly evolving through the integration of artificial intelligence, quantitative imaging, radiomics, and advanced ultrasound and hybrid ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Gold’s sharp Jan. 30 selloff appears to be positioning & volatility reset rather than gold’s long-term investment case's rejection, consistent with prior liquidity-driven repricing episodes ...

Whether assessing the value of a player, allocating capital, or managing exposure, data-driven decision-making is about ...

AI is hiring experts to enhance crypto AI models with a focus on digital asset markets and quantitative trading strategies.

Samuel Lee, known as Lee Sung-hun on Single’s Inferno Season 5, built his résumé as a quantitative trader at Jump Trading ...

The AI revolution has transformed behavioral and cognitive research through unprecedented data volume, velocity, and variety (e.g., neural imaging, ...

Moonberg announced QuantFi at Davos during the World Economic Forum last week, a quantitative trading platform that will open the company’s comprehensive crypto data infrastructure to builders, ...

Pioneering biostatistician and infectious disease expert Dr. Elizabeth Halloran recently transitioned to emerita after a ...

Much of quantitative finance has historically been built on the premise that markets can be forecast with increasing ...

For much of modern financial history, quantitative research has relied on the assumption that markets revert to identifiable norms. That assumption is becoming increasingly difficult to defend.