Principal Investigator Elfar Adalsteinsson
Contact
Xuanhe Zhao Robert N Noyce Career Development Associate Professor of Mechanical Engineering Associate Professor of Civil and Environmental Engineering Head, Soft Active Materials Laboratory (SAMs) MIT Department of Mechanical Engineering
Justin Solomon
Attempts to embed machine learning-based predictive models to make products smarter, faster, cheaper, and more personalized will dominate activity in the technology industry for the foreseeable future. Veeramachaneni and MIT researchers are proposing a paradigm shift from the current practice of creating machine learning models that requires months-long discovery, exploration and “feasibility report” generation, followed by re-engineering for deployment, in favor of a rapid 8 week long process of development, understanding, validation and deployment that can executed by developers or subject matter experts using reusable APIs.