This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
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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 ...
Defections, secret conversations, deal talks that fizzled and a battle for control: The turmoil at Thinking Machines Lab is the artificial intelligence industry’s latest drama.
Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
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