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.
Looking for 8-10 startups to participate on April 10 in Lightning Talks and Lunch Exhibit at the 2024 MIT Health Science Technology Conference.
The 2023 MIT Asia Roadshow in Osaka presents an opportunity to learn about various MIT-connected startups across diverse industries, including Artificial Intelligence, Energy, Life Sciences, Robotics, Sustainability, and Proptech.
The agenda for the day includes a series of insightful lightning talks, exhibitions showcasing the work of innovative startups, and networking sessions with professionals from MIT-connected startups, as well as the larger industry.
The 2023 MIT Asia Roadshow in Seoul presents an opportunity to learn about various MIT-connected startups across diverse industries, including Artificial Intelligence, Energy, Life Sciences, Robotics, Sustainability, and Proptech.
The 2023 MIT Asia Roadshow in Tokyo presents an opportunity to learn about various MIT-connected startups across diverse industries, including Artificial Intelligence, Energy, Life Sciences, Robotics, Sustainability, and Proptech.
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.
The overall theme is operations.