MIT Startup Exchange is looking for 15 MIT-connected startups to present at MIT Japan Conference Webinar Series and also participate in a Meet & Greet.
Looking for 10 startups to present their technology during Lightning Talks and participate at the Lunch Exhibit - April 5 @Boston Marriott Cambridge.
Autonomous systems such as robots, drones, and autonomous vehicles are increasingly becoming a common element of human society. However, how to make autonomous systems more intelligent, more efficient, safer, and better aligned with human values remains to be a big challenge. The MIT Schwarzman College of Computing invests in new artificial intelligence, data science, and computer science research to advance the state of the art in autonomous systems. The 2023 MIT AI and Autonomy Conference will showcase the most recent developments in areas including networked robotics, human level perception, reinforcement learning, and computational cognitive science. Presented by the MIT Schwarzman College of Computing and the MIT Industrial Liaison Program, you will hear insights from MIT faculty, MIT Startup Exchange entrepreneurs, and industry executives from presentations, lightning talks, exhibitions, and a panel discussion.
The 2024 MIT Health Science Technology Conference will highlight broad and transformative trends in biology and healthcare, including early-stage discovery, immune cell responses, diagnostics, clinical capabilities, process development, rapid and continuous manufacturing, robotics and automation, and sustainability, all enhanced by artificial intelligence and machine learning technologies. Leading MIT researchers and MIT-connected startups will showcase these advances and discuss their implications for improving human health.
Senior executives from TOTAL will be visiting MIT from Oct 8-10 for the purpose of exploring potential partnerships with MIT startups. The goal of October’s visit is to meet experts that can help to find the best way to enhance Data Management (DM) practices throughout TOTAL entities. Data must be managed effectively and valued to maximize its business impact. Attendees from TOTAL include Michel Lutz, Group Data Officer, and Gaile Lejay, Business analyst.