The 2025 MIT Japan Conference will explore future research trends at MIT, highlighting breakthroughs in key areas such as Soft Materials and Mechanics, Biomedical Innovation, and the impact of Generative AI (GAI) on the Work of the Future. Additional sessions will focus on Quantum and Silicon Photonics, Nanotechnology in materials and additive manufacturing, and the latest Machine Learning and AI tools for chemical discovery. Advances in semiconductor technology, hydrogen innovation, and electrochemistry, as well as thermofluidic interfaces, will also be featured.
Please visit the MIT ILP site for the full agenda.
MIT Startup Exchange is looking for 6 startup speakers for the StartUP@MTL event, which will run virtually on Thursday, April 7, noon – 2pm ET.
Fujitsu Limited(“Fujitsu”) would like to solicit applications from interested members of the industry and academia to test the quantum simulator on novel problems and applications.
The future of energy innovation is complex. MIT Startup Exchange is convening the third annual energy innovation event to discuss the latest advances in energy innovation from the perspective of industry, academia, venture, and startups in the MIT ecosystem. The workshop will cover innovation models, technologies, collaboration patterns, partnerships, and trends in energy tech, policy, commercialization, innovation, and startups.
Looking for 10 Startups to Speak on November 17 at 2021 MIT Research & Development Conference: Resiliency Through Innovation (followed by Startup Lunch Exhibit).
Syngenta, a Global $13B company that produces agrochemicals and seeds, Looking for sources of dietary protein as an alternative to conventional food production
MIT STARTUP EXCHANGE JUNE 2024 DEMO DAY
June 6, 2024
Lightning Talk and Exhibitor Opportunity, Organized by MIT Media Lab with contributions from MIT Startup Exchange and Takeda Pharmaceuticals
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.