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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 ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
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