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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
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26,000 scientists still can’t explain exactly how AI models think and how to measure them
In a dizzying age of machine learning triumph, where systems can generate human-like prose, diagnose medical conditions, and synthesize novel proteins, the AI research community is facing an ...
Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three ...
New research shows how fragile AI safety training is. Language and image models can be easily unaligned by prompts. Models need to be safety tested post-deployment. Model alignment refers to whether ...
Editor’s note: This work is part of AI Watchdog, The Atlantic’s ongoing investigation into the generative-AI industry. On Tuesday, researchers at Stanford and Yale revealed something that AI companies ...
Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping light effects ...
At NVIDIA GTC 2026, DeepRoute.ai presented a comprehensive introduction to its 40-billion-parameter Vision-Language-Action ...
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