Even 20 years after their mainstream adoption, algorithmic trading continues to challenge regulators and compliance teams. It's not just that it is inherently complex, but the pace of change and ...

Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your ...

The integration of algorithmic trading with reinforcement learning, termed AI-powered trading, is transforming financial markets. Alongside the benefits, it raises concerns for collusion. This study ...

Armed with some Python and a white-hot sense of injustice, one medical student spent six months trying to figure out whether an algorithm trashed his job application.

This pattern sustains vitality by maintaining and renewing the system's existing health. 'Commons Curriculum Design' contributes to ongoing functioning without necessarily generating new adaptive ...

Abstract: A new Python library, APyTypes, suitable for simulating and exploring finite word-length effects is presented. The library supports configurable bit-accurate fixed- and floatingpoint types ...

A University of Pennsylvania study with nearly 800 Taiwanese high school students found that an AI tutor adjusting problem difficulty to each learner’s performance significantly improved Python ...

Abstract: The recognition of oracle bone script is of significant importance for understanding the evolution of Chinese characters, their morphological features, and semantic changes. However, ...

We study price competition when one firm uses a pricing algorithm that can react quickly to a rival’s price. We characterize a coercive equilibrium in which the algorithm encodes a persistent rule ...