O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

Learn how to train large language models (LLMs) effectively with long context inputs. Techniques, examples, and tips included ...

Leaders split on AGI viability, with Meta skeptical and DeepMind confident, so you can compare aims, methods, and what ...

VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Which AI trends are coming in 2026? Euronews Next looks at the rise of world models and small language models as alternatives to traditional chatbots, with mounting concerns over AI safety, regulation ...

Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...

Abstract: In dynamic and evolving application scenarios, the ability of visual language models to continuously learn from new data while preserving historical knowledge is critically important.

Lin Tian receives funding from the Advanced Strategic Capabilities Accelerator (ASCA) and the Defence Innovation Network. Marian-Andrei Rizoiu receives funding from the Advanced Strategic Capabilities ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...

DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large ...