All articles tagged with #automl
A wave of AI startups, including Ricursive Intelligence and Recursive AI, aims to build systems that improve themselves—designing better chips and AI models with less human input—backed by hundreds of millions in venture funding, signaling bold bets amid concerns of an AI bubble.
Scientists at MIT have developed an automated machine-learning system called BioAutoMATED that can generate AI models for biology research. The system selects and builds an appropriate model for a given dataset, including handling the laborious task of data preprocessing, reducing the process from months to just a few hours. BioAutoMATED focuses on biological sequences and offers a larger search space by incorporating multiple tools under one umbrella tool. It includes supervised ML models for binary classification, multi-class classification, and regression. The open-source code is publicly available, and the researchers hope to collaborate with the biological research community to make it a widely used tool.