The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

AI moved bottlenecks to clarity and reach, so we share eight habits to drop, like replacing decks with demos, to help you ship faster.

RPG Larian's head writer has a simple answer for how AI-generated text helps development: 'It doesn't,' thanks to its best output being 'a 3/10 at best' worse than his worst drafts RPG Larian's learnt ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

This study investigates the transformative impact of generative AI (GenAI), particularly ChatGPT, on higher education through a mixed-methods approach combining survey analysis and scenario ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

The venture capital world has witnessed countless technological disruptions over the decades, but few have arrived with the speed and scope of generative artificial intelligence. In the three years ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I address how you can discover hidden best ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.