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MachineLearningApplications@CSAIL

The MachineLearningApplications@CSAIL initiative focuses on applications of the latest machine learning (ML) technologies, research on the resolution of current challenges limiting the abilities of ML, and professional development that will help prepare a company’s workforce for this digital transformation.

The initiative's approach is comprehensive and will address the vision for the future of machine learning, its applications in business, research where no commercial products are currently available, and skill development for your workforce.

Join the mailing list to learn how the research initiative is helping leaders navigate, consume, digest, and prepare their company for all machine learning has to offer.

Explore other CSAIL Alliances initiatives 

MIT Future of Data
This initiative is an opportunity for industry partners to work with MIT researchers on new policy-informed, technical approaches to today’s privacy challenges, to understand the implications of new laws such as the GDPR, and to lead a global dialogue with policymakers, civil society, and industry leaders as we shape the future of privacy and data governance.

FinTechAI@CSAIL
FinTechAI enables member companies to connect with the leading AI researchers in CSAIL to learn the capabilities, and challenges, of AI advancements. It explores how the technical developments could impact the global economy through industry applications and considers how policy can be shaped to address the new capabilities. Through FinTechAI@CSAIL, we will collaborate with companies and leverage MIT’s convening capabilities to bring together researchers, industry leaders, policy makers, regulators, and academics to explore new AI technologies and address AI technical challenges.

SustainableML@CSAIL
This initiative will target sustainable computing and usher in a new generation of efficient, effective, and environmentally friendly computation in partnership with industry. SustainableML@CSAIL will be focused on advancing the future of efficient software options facilitating the transition of fundamental academic knowledge to real-world technical solutions. 
 

"At CSAIL, we imagine a world where AI technologies, machine learning, and robotics and decision-making will help support cognitive and physical tasks in much the same way that today’s smartphones support us with computing and number-crunching tasks.

...CSAIL researchers will give you a peek into the future, into the technologies that are maturing and coming around the corner that you may not know about. This can help your companies accelerate the adoption of the latest technologies in your domains."

Daniela Rus
Faculty Director, MachineLearningApplications@CSAIL
Director, MIT CSAIL