Following the idea developed with the programming language CUDA—letting GPUs be used for applications other than graphic ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
New data finds AI assistant crawlers increased site coverage even as companies sharply reduced access for AI model training ...
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AI models mirror human 'us vs. them' social biases, study shows
Large language models (LLMs), the computational models underpinning the functioning of ChatGPT, Gemini and other widely used ...
At the start of 2025, I predicted the commoditization of large language models. As token prices collapsed and enterprises ...
Outstanding Innovation Award” honors transformative impact of Duos’ modular Edge AI infrastructure, advancing digital equity, ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...
Implementing an Electrocardiogram Suite in the Emergency Department to Decrease Door-to-EKG Time ...
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