New research suggests that modern AI systems, especially large language models, cannot be understood in isolation but must be ...
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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 ...
On stage, at NVIDIA GTC 2026, Marketeam.ai unveiled RL-KPI (Reinforcement Learning with Key Performance Indicators), a ...
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Water company wasted $200k on bad answers from an AI model – so built its own slop filtering system
Waterline Development, a water desalination startup, is the beneficiary of this legacy of commercial haste. Having tried AI ...
At HIMSS26, leaders from Emory Healthcare and Mass General Brigham discussed how initiatives like the Healthcare AI Challenge ...
Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping light effects ...
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 ...
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