Date: October 6, 2016
- Because the information is just not in books.”
To Baldi, scientists should embrace deep learning without being “too anal” about the black box.
- Despite these fears, computer scientists contend that efforts at creating transparent AI should be seen as complementary to deep learning, not as a replacement.
- Issues such as these have led some computer scientists to think that deep learning with neural networks should not be the only game in town.
- Back in the lab, Pomerleau tried to understand where the computer had gone wrong. “Part of my thesis was to open up the black box and figure out what it was thinking,” he explains.
- Twenty-five years later, deciphering the black box has become exponentially harder and more urgent.
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