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.
The annual MIT Startup Ecosystem Conference features 25 of the most promising startups from across MIT. These startups are all part of STEX25, an accelerator run by MIT Startup Exchange, an integrated program of MIT Corporate Relations.
Applications built on machine learning algorithms are entrenching themselves everywhere, but they often bring major weaknesses that aren't discovered until after they are deployed.
P&G is open to investigating composable architecture if there is no solution to address this opportunity in its entity. P&G is not looking for Designs only (without the ability to implement).