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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 ...
Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three ...
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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 ...
Waterline Development, a water desalination startup, is the beneficiary of this legacy of commercial haste. Having tried AI ...
Dario Amodei, CEO of the California-based AI company Anthropic, made a bold prediction about the future of software engineering, suggesting that AI models could soon take over most, if not all, tasks ...
Last week, Nvidia’s public reveal of DLSS 5—and its “generative AI” enhanced glow-ups of gaming scenes—drew widespread ...
Then, AI arrived everywhere at once. Suddenly, the hardest questions in the boardroom are no longer “Did we follow the ...
Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping light effects ...
At HIMSS26, leaders from Emory Healthcare and Mass General Brigham discussed how initiatives like the Healthcare AI Challenge ...
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 ...
South Korean operator SK Telecom (SKT) claimed it can solve memory supply chain issues using SK Hynix wares as it continues ...
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