5 Q’s for Maitreya Natu, Chief Scientist of Digitate – Center for Data Innovation
5 Q’s for Maitreya Natu, Chief Scientist of Digitate Center for Data Innovation
5 Q’s for Maitreya Natu, Chief Scientist of Digitate Center for Data Innovation
Microwave signal processing using an analog quantum reservoir computer Nature.com
Overcoming the coherence time barrier in quantum machine learning on temporal data Nature.com
Machine learning uncovers rheumatoid arthritis subtypes Tech Explorist
A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model Nature.com
Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states Nature.com
A large-scale audit of dataset licensing and attribution in AI Nature.com
Researchers developed an easy-to-use tool that enables an AI practitioner to find data that suits the purpose of their model, which could improve accuracy and reduce bias.
Solar Energy Production and Consumption with AI IoT For All
Study: Transparency is often lacking in datasets used to train large language models MIT News