Technology partnership equips engineering and legal teams with new capabilities to manage IP risks from AI coding ...

AI coding work is rising fast, but the biggest payoff isn’t evenly shared. A Science analysis suggests seasoned developers ...

Chainalysis launches Workflows, a no-code tool automating blockchain data analytics without requiring SQL or Python expertise.

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

Abstract: Algorithmic stock trading has improved tremendously, with Reinforcement Learning (RL) algorithms being more adaptable than classic approaches like mean reversion and momentum. However, ...

An overview of our research on agentic RL. In this work, we systematically investigate three dimensions of agentic RL: data, algorithms, and reasoning modes. Our findings reveal: Real end-to-end ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

Abstract: Several techniques have been proposed to (partially) automate code review. Early support consisted in recommending the most suited reviewer for a given change or in prioritizing the review ...