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 ...

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

From Leonardo’s notebooks to neural networks, the tools of intelligence have evolved, but the human impulse behind them remains the same Suhaib Bakshi When a student today asks an artificial ...

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 ...

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

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, ...

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 ...

Matthew Miksic Barclays Bank PLC, Research Division. You bet. All right. So maybe just to start to frame topics I want to go through and a lot of the questions that we get from in ...

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

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...