James Cameron's "Avatar" sequels may seem like the kind of massive Hollywood productions that can benefit significantly from generative AI software. The luxurious world of Pandora and the Na'vi ...

James Cameron admits he may use AI to speed up future ‘Avatar’ films, but only if it meets a strict ethical condition. See his new comments on the technology. James Cameron explores generative AI to ...

The latest trends in software development from the Computer Weekly Application Developer Network. Artificial intelligence has already learned to read, write and reason. In 2026, it’s learning to look, ...

When it comes to James Cameron, let’s just say people tend to have opinions. Mostly, because he’s not ever shy about sharing his, often leading to controversy. But here’s a James Cameron opinion that ...

While speaking about the upcoming Avatar: Fire and Ash, the Academy Award-winning filmmaker highlighted the biggest problem with AI. He stated that conflicted human beings are the ones who would be ...

James Cameron, 71, is the director of movies like “Avatar” and “Titanic.” Generative AI can automatically generate scenes, characters and objects based on text prompts, a prospect Cameron called ...

James Cameron’s movies are often at the cutting edge of visual effects technology — especially the “Avatar” films, with their heroic blue Na’vi characters brought to life through performance capture.

What’s the best way to bring your AI agent ideas to life: a sleek, no-code platform or the raw power of a programming language? It’s a question that sparks debate among developers, entrepreneurs, and ...

Microsoft released Azure Cosmos DB Python SDK version 4.14.0, a stable update designed to support advanced AI workloads and enhance performance for data-driven applications. The release includes new ...

The Chat feature of Google AI Studio allows users to interact with Gemini models in a conversational format. This feature can make everyday tasks easier, such as planning a trip itinerary, drafting an ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...