AI programs spat out known data and hardly learned specific chemical interactions when predicting drug potency

Artificial intelligence (AI) is on the rise. Until now, AI applications generally have 'black box' character: How AI arrives at its results remains hidden. A cheminformatics scientist has now developed a method that reveals how certain AI applications work in pharmaceutical research. The results are unexpected: the AI programs largely remembered known data and hardly learned specific chemical interactions when predicting drug potency.

  Health   Nov 14, 2023   0   79  Add to Reading List
AI programs spat out known data and hardly learned specific chemical interactions when predicting drug potency

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Connect to more customers on doacWeb

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ARE YOU TIRED OF LOW SALES TODAY?

Connect to more customers on doacWeb

Post your business here..... from NGN1,000

WhatsApp: 09031633831

Artificial intelligence (AI) is on the rise. Until now, AI applications generally have 'black box' character: How AI arrives at its results remains hidden. A cheminformatics scientist has now developed a method that reveals how certain AI applications work in pharmaceutical research. The results are unexpected: the AI programs largely remembered known data and hardly learned specific chemical interactions when predicting drug potency.
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