An AI speed test shows clever coders can still beat tech giants like Google and Intel
There is a common narrative in the world of AI that bigger is better. To train the fastest algorithms, they say, you need the most expansive datasets and the beefiest processors. Just look at Facebook’s announcement last week that it created one of the most accurate object recognition systems in the world using a dataset of 3.5 billion images. (All taken from Instagram, naturally.) This narrative benefits tech giants, helping them attract talent and investment...
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