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 ...

Abstract: This study provides a deep learning-based intelligent recognition technology for student facial expressions in the classroom. This technology realizes the recognition of students’ facial ...

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

Python’s rich ecosystem of libraries like NumPy and SciPy makes it easier than ever to work with vectors, matrices, and linear systems. Whether you’re calculating determinants, solving equations, or ...

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 ...

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 ...

Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...