Large language models (LLMs) developed from Generative Pre-trained Transformers (GPTs) have shown potential for performing complex abstraction tasks on unstructured clinical notes. Objective: Here, we ...

Digital modeling is one of the most widely used tools for bringing bodies to life in 3D. Created from thousands of everyday images and videos, 3D generative models employ artificial intelligence to ...

LONDON, Dec 18 (Reuters) - Zara has become the latest fast-fashion retailer to use AI to help create new images of real models in different outfits, speeding up the production process as part of an ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests. The ...

I am integrating PydanticAI with Django, using either dataclasses or Django Ninja to interface Django models with PydanticAI and LangChain. I’m currently writing documentation for this integration and ...

Abstract: The Interactive Multiple Model (IMM) strategy is widely used for systems with multiple operating modes characterized by varying dynamics. This approach is particularly effective when a ...

Summary: Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task. This ...

There’s now a very good chance a tropical depression — at least — will form in the Eastern Atlantic this week, but so far most early model runs have suggested it would steer clear of the Caribbean. On ...

Earlier this year, Apple introduced its Foundation Models framework during WWDC 2025, which allows developers to use the company’s local AI models to power features in their applications. The company ...

Abstract: Adapters and prompt learning have become two de facto strategies to fine-tune pre-trained vision-language models, mitigating the high computational cost of fine-tuning an entire model for ...

Recent advances in text-to-audio (TTA) generation excel at synthesizing short audio clips but struggle with long-form narrative audio, which requires temporal coherence and compositional reasoning. To ...