In the next five years, autonomous vehicle technology may finally blossom and enter our lives. The first applications of intelligent self-driving vehicles may embark on highways, campuses, and warehouses. Bottlecap-size consumer drones may roam around, filming the next big hit video on social media. What are some of the technical challenges and technological enablers? How will the new technology impact new products, markets, businesses, and ultimately our lives? Professor Sertac Karaman's research is enabling new ways of designing autonomous vehicles with the help of rigorous, mathematical thinking that leads to valuable insights.
CATALOG The world will generate 160 zettabytes of data in 2025. That’s more bytes than there are stars in the observable universe. Conventional storage media like flash-drives and hard-drives do not have the longevity, data density, or cost efficiency to meet the global demand. CATALOG is building the world’s first DNA-based platform for massive digital data storage.
Interpretable AI The company is bringing interpretability to machine learning and artificial intelligence and was co-founded by Professor Dimitris Bertsimas of MIT Sloan School of Management’s Operations Research Center (ORC).
Osaro Advanced imaging AI for robotics that can identify objects others cannot.
Digital Health mobile apps and connected medical devices are rapidly changing how patients learn, monitor, diagnose and treat disease. Even in these early days of the digital transformation of healthcare, connected medical devices and digital services are winning reimbursement as “digiceuticals” by payors and insurers. However, the critical need going forward is how to measure, compare and prove these new tools and digital biomarkers are safe, effective and valuable at scale, not just in the USA but globally, across geographies, cultures and health systems.