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Reducing the carbon footprint of AI: The debate continues

The debate about the energy greediness of large AI models is raging. Recently, an AI ethics researcher at Google was dismissed because she had pinpointed the upward spiral of exploding training data sets. The fact is that the numbers make oneโ€™s head swim. In 2018, the BERT model made the headlines by achieving best-in-class NLP performance with a training dataset of 3 billion words.
United States Jeff Hawkins Nicoelnino Shutterstock University Of Amherst Massachusetts Amherst Massachusetts Sparse Distributed Representation

My top 5 language AI books

My top 5 language AI books Language AI is one of the most challenging areas of artificial intelligence, one where mainstream AI is far from coming near human-level performance, because it needs world knowledge to be solved (AI complete). The shortcomings of modern machine learning approaches can be explained by the low efficiency of artificial neural networks. Because natural evolution is mainly driven by efficiency, I developed a strong interest for biologically inspired natural language under...
Pentti Kanerva Steven Pinker Emmanuel Sander Jeff Hawkins Sandra Blakeslee Douglas Hofstadter

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