Applied Analytics lecturer David Shilane examines how organizations move beyond analytics dashboards to embed data science ...

Scientists at Google DeepMind —the company’s artificial intelligence research arm—say they’ve created an A.I. tool that can ...

It uses a system called simplified molecular-input line-entry system (SMILES). This translates chemical 3D structures into ...

Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something that can, in some cases, build entire applications from a text prompt. Tools ...

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but ...

The 2,500 questions that make up the exam are specifically designed to probe the outer limits of what today’s AI systems cannot do.

AI-assisted programming is becoming increasingly prevalent. However, only experienced developers achieve productivity gains.

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses ...

Overview: Programmers prefer Python in AI, data science, and machine learning projects, while JavaScript is useful in web and full-stack development.GitHub and ...

Learn how to perform a least squares fit using Web-Based VPython! 🐍📊 This tutorial walks you step by step through data fitting, plotting, and analyzing results with VPython in a web environment.

OpenAI, Google, and Moonshot AI are ushering in agentic AI systems that investigate, coordinate, and verify tasks beyond ...