We seek three startups to present in front of approximately 200 individuals from industry, academia, and government, plus a stand-up booth during all networking breaks and a buffet luncheon. Startups will be considered from any segment of healthcare, including novel medical devices, digital health, pharma/nutrition, etc.
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.
Investing in Science Based Startups
Evonik is looking for Battery Solutions to explore collaboration and investment opportunities.
Charles Fracchia, Founder, BioBright
Introduced by Marcus Dahllof, Associate Program Director, MIT Startup Exchange; Cliff Reid, PhD, CEO, Travera; Todd Gierahn, PhD, Cofounder, Honeycomb; Laura Indolfi, PhD, CEO & Cofounder, PanTher Therapeutics; Ulrik Nielsen, PhD, CEO & Cofounder, Torque; Jason Norris, Cofounder, Elektrofi; Patrick Stern, PhD, CEO & Founder, Sextant; Carlos Castro-Gonzalez, PhD, CEO & Cofounder, Leuko Labs; and Alec Nielsen, PhD, Cofounder, Asimov.
P&G is seeking startups for innovative consumer experiences: 1) Making a Sustainable Lifestyle Effortless 2) AI Technologies for Digital Expert Advisors with conversational AI and hybrid human-ML, 3) Transformative Transactions including sourcing, manufacturing, distribution, and autonomous supply chain, 4) Automation of Daily In-Home Consumer Tasks, and 5) Enabling Breakthrough Growth for Omnichannel Brands.