オープンデータ関連のニュースです。
日本語
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English
Researchers in the lab of Vijay Pande, PhD, have developed an algorithm to help make predictions about the properties of molecules. This algorithm could be beneficial in the early stages of drug design when a researcher is trying to choose what molecule to study from a group of molecules that each show some potential. Customarily, researchers need to train algorithms using thousands to trillions of data points. This new algorithm was able to produce fairly accurate predictions about toxicity and side effects of molecules using fewer than 30 data points. The study was published this week in ACS Central Science. The researchers describe this type of deep learning, called one-shot learning, as analogous to how toddlers can identify giraffes after seeing a picture of a giraffe only once.
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