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Deep learning has produced powerful predictive models, but they are currently used as uninterpretable black boxes that fail when the goal is not merely prediction, but insight and discovery.…

Deep learning has produced powerful predictive models, but they are currently used as uninterpretable black boxes that fail when the goal is not merely prediction, but insight and discovery.…
Core focus: Interpretability for deep learning (commercializing the DeepLIFT method)
Origin: Stanford University research (Avanti Shrikumar under Anshul Kundaje)
Headquarters: Stanford, United States
Known investor: Pear Ventures (convertible, Sep 2016)
Company funding status (self-stated): Has not raised equity funding
Model interpretability / explainable AI for deep learning
Artificial intelligence / machine learning
Dealroom lists a Sep 2016 convertible event with Pear Ventures; amount not disclosed. Company statement indicates no equity raised.
“Pear Ventures (convertible, Sep 2016)”
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