Anthropic responds to OpenAI and Google with Claude Opus 4.5, a model that prioritizes coding dominance, cost-efficiency, and user-controlled reasoning.
Computer vision enables computers to understand the content of images and videos. It is one of the main bridges between the physical and digital worlds.
Reinforcement learning from human feedback (RLHF) is the technique that has made ChatGPT very impressive. But there is more to RLHF that large language models (LLM).
Narrow AI technologies are very good at solving specific problems, but they fall short of fulfilling the requirements for human-level AI.
LLM ensembles use the power of teamwork to improve the responses of models. Mixture-of-agents (MoA), a more advanced technique, takes ensembles to the next level.
This article is part of Demystifying AI, a series of posts that (try) to disambiguate the jargon and myths surrounding AI.
If you’re living on this planet, you probably hear a lot about Artificial Intelligence these...
Learn how deep neural networks detect objects in images in this primer on object detection with deep learning.
DeepSeek-V3.2 is a top-5 LLM, sitting next to the likes of Grok 4 and GPT-5. But what is more impressive is its efficiency.
Deep learning and neural networks have occupied the highlights of the artificial intelligence industry since 2012. Here's everything you need to know.
Multimodal language models bring together text, images, and other datatypes to solve some of the problems current artificial intelligence systems suffer from.