‘Set it and forget it’: automated lab uses AI and robotics to improve proteins

Artificial intelligence, especially generative AI using machine learning, has radically transformed scientific research in less than a decade.

“In less than a decade, artificial intelligence (AI), especially generative AI (GenAI) that uses machine learning (ML) algorithms, has radically transformed scientific research.”

Scientists use AI systems to analyze data and images, model complex phenomena, design molecules and materials, summarize literature, generate hypotheses, and edit articles.

“Today, scientists use AI systems to analyze data and images, model complex phenomena, design molecules and materials, summarize literature, generate hypotheses, and edit articles [1–4].”

AI companies around the globe are fiercely competing to develop and market products designed to automate human intellectual labor, including scientific research.

“However, the claim appears to be disingenuous, given that AI companies around the globe are fiercely competing to develop and market products designed to automate human intellectual labor, including scientific research [1, 18, 19].”

While research execution tasks like technical and experimental work and data collection may be reduced, jobs could be gained in tasks related to research planning or evaluation, hypothesis generation or data interpretation.

“While research execution tasks like technical and experimental work and data collection may be reduced, jobs could be gained in tasks related to research planning or evaluation, hypothesis generation or data interpretation [1].”