Study finds AI can learn without real-world data
JERUSALEM, Nov. 4 -- Researchers have shown that an artificial intelligence (AI) model can learn and improve its predictive ability using only data it generates itself, without exposure to real-world information, Israel's Tel Aviv University (TAU) said in a statement Wednesday.
The study, published on the scientific website arXiv, presented a new approach to AI training that could help machines develop learning skills without relying on large collections of human-created material, according to the statement.
Researchers from TAU and Stanford University trained two computer models together, with one creating symbol sequences and the other learning to predict the next symbol.
The first model gradually improved at creating learning exerci...
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