Vincent Ling, Senior Director, Materials and Innovation, Takeda
The MIT Startup Exchange is seeking 10 startups to present and exhibit at 2024 MIT Research and Development conference - Nov. 19 @Boston Marriott Cambridge.
Looking for 8-10 startups to present their tech on April 12 at the 2022 MIT Health Science Technologies Conference: The Future of Cell & Gene Therapies.
FM Global is a mutually-owned, commercial, property-risk insurer based out of Johnston, Rhode Island, United States. We are a non-traditional insurer, focused on engineering analysis to determine premium and risk. FM Global believes that majority of losses are preventable. Historically, FM Global has focused on sprinklers and other conventional loss prevention technologies.
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.
Xinterra pioneered the combined use of high throughput experimentation and artificial intelligence applied to materials, seeking efficient approaches to overcome slowness, high costs and overall limitation to innovation imposed by traditional materials R&D processes. Buonassisi will discuss Xinterra's combined use of high throughput experimentation and artificial intelligence applied to materals.
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.