Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

I've worked with AI for decades and have a master's degree in education. Here are the top free AI courses online that I recommend - and why.

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Slomp Filho, M. (2026) Copyright in Generative Artificial Intelligence. Beijing Law Review, 17, 1-10. doi: ...

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...

As the third quarter of 2025 draws to a close on September 30, XRP faces a turbulent backdrop marked by ETF delays, sector-wide deleveraging, and volatile technicals. The token, which currently trades ...

Bitcoin (BTC) has fallen nearly 10% since its August 14 peak above $124,000, slipping below $110,000 multiple times amid weakening institutional demand. In hindsight, the drop is not so surprising: ...

Abstract: With the advancement of artificial intelligence, Deep Reinforcement Learning (DRL) has been widely applied to traffic signal control (TSC). However, DRL-based TSC methods often require ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...