By implementing strategies such as fine-tuning smaller models and real-time AI cost monitoring, financial institutions can ...

Santa Clara, California - In a recent development, Turing Award laureates Andrew Barto and Richard Sutton have raised alarms ...

In this rapidly growing digital era, privacy-preserving machine learning (PPML) is revolutionizing data-driven applications ...

This course introduces a range of computational problems in financial markets and illustrates how they can be addressed by using tools from machine learning. In particular, portfolio optimisation, ...

The surge in digital data presents both unprecedented opportunities and formidable challenges across industries. A recent ...

Incoming Varo Bank CEO Gavin Michael said he plans to achieve profitability by capitalizing on technology for underwriting ...

Today, we live in a digital world where online transactions have made it increasingly easy for cyber crimes, more so fraud, ...

How two Chinese women turned their Ph.D. theses into machine learning that makes connections between seemingly unrelated events to discover emerging fraud schemes.

A researcher with expertise in cybersecurity, Vishwadeep Saxena explores the transformative impact of machine learning (ML) ...

As these organizations increasingly rely on data-driven decision-making, the demand for data scientists, machine learning engineers, AI specialists and data analysts continues to grow across sectors ...