The CARD framework reached a Macro-AUROC of 75.9% in semi-supervised chest X-ray disease classification, rising to 77.0% when ...
Ohio State researchers built Scentronic, an AI e-nose and wearable that transmit smells over the internet as odor data. Five ...
High-performance brain-computer interfaces (BCIs) rely on stable neural representations, yet brain functional impairments ...
Learn natural language processing for market sentiment analysis: turn raw financial text into reliable ML models, clean ...
Episode 1 Understanding AI from its MechanismsSeries "Introduction to AI through Mechanisms" Full Episode GuideLast time, we ...
Our NER pipeline, despite its simplicity in setup, did a pretty good job.
A new leakage-controlled machine learning framework achieves strong sentiment classification on social media data while ...
Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn ...
AWS and Hexagon explore how deep learning infrastructure must adapt to handle power, thermals and 3D spatial reality, from ...
Producing alloys from recycled metals via secondary synthesis can markedly cut energy use, greenhouse-gas emissions, and dependence on scarce, strategically important elements relative to primary ...
TypeSafe AI has closed an $870 million Series A at a $7.5 billion valuation, backing a model built not to write prose, ...
AI, machine learning, and deep learning. You see these terms repeatedly in introductory materials, yet you might stumble when ...
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