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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 ...
Last week, Nvidia’s public reveal of DLSS 5—and its “generative AI” enhanced glow-ups of gaming scenes—drew widespread ...
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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 ...
Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three ...
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 ...
NemoClaw brings added enterprise-level privacy and security controls, allowing AI agents to run in a secure way ...
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 ...
NVIDIA DLSS 5 brings AI-powered rendering to gaming with neural graphics and cinematic visuals. Check features, release date ...
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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