This paper proposes a new algorithm that allows us to compute pairwise-correlation sensitivities in a Monte Carlo framework by modifying only one trajectory at ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

CVI is an algorithm for constructing implied volatility surfaces that is framed as a convex optimisation problem. As such, it is suitable to be processed by modern optimisation solvers like CVXPY, ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and ...

A new academic study argues that the structural reliance of artificial intelligence (AI) systems on classification models creates significant challenges when AI systems attempt to represent fluid and ...

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...

Imaging-based single-cell physiological profiling holds great potential for uncovering fundamental bacterial cold shock response (CSR) mechanisms, but its application is impeded by severe focus drift ...

Alphatec Holdings, Inc. ( ATEC) Barclays 28th Annual Global Healthcare Conference March 11, 2026 9:00 AM EDT ...

For more than a century, Srinivasa Ramanujan’s uncanny formulas for the number pi have looked like pure mathematical fireworks, dazzling but detached from the physical world. Now a new wave of ...

Every time you send a text, pay for groceries with your phone, or use your health site, you are relying on encryption.