MIT Startup Exchange Live Demo Day
April 2, 2025
MIT Startup Exchange December 2024 Demo Day
December 11, 2024
Virtual Event
Computing – from hardware and software to algorithms and AI – is the intellectual backbone supporting advancement across science and technology fields, molding society in profound ways. With skyrocketing demand for computer science education, as well as the pressing need for concrete, sustainable, and responsible solutions across technological domains, the MIT Schwarzman College of Computing invests in new artificial intelligence, data science, and computer science research. The 2022 MIT Efficient AI and Computing Technologies Conference will showcase the most recent developments and tangible impacts of computing technologies in AI hardware and software for improved efficiency and explainability, as well as their applications in diverse technological areas. 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.
VMS is hosting a Sales Bootcamp with mentor Kent Summers this July. Mentors are welcome, and we hope you’ll see this as a good learning opportunity!
Organizations and individuals are facing tremendous challenges in today’s workplace. How work gets done, when and where work gets done and now who does the work are key questions that leaders have to tackle. In this symposium we will address the impact of Artificial Intelligence on the future of work. How can new technology tools like generative AI improve productivity and product quality for firms, as well as flexibility and job quality for workers? How can we tackle workforce development in new ways to gear up for this paradigm shift in the workplace?
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.