Machine Learning in Chemistry
Olexandr discusses the challenges faced by professionals from various disciplines as they navigate the integration of machine learning techniques into their work. He highlights the steep learning curve for those not trained as data scientists, particularly in fields like experimental chemistry, while emphasizing the importance of accessible resources to help them adapt. The conversation sheds light on the growing necessity for these professionals to familiarize themselves with the latest advancements in both hardware and software to stay competitive in drug discovery.In this clip
From this podcast
The AI Podcast
Artem Cherkasov and Olexandr Isayev on Democratizing Drug Discovery with Deep Learning - Ep. 172
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