MIT Startup Exchange is convening the workshop to showcase the best of MIT Startups in Computer Vision & Robotics.
The MIT Startup Exchange team is seeking startups to present at the Startup Lightning talks of MIT’s Leading Edge Webinar - Computationally-Assisted Materials Discovery, taking place on Thursday, April 10, 2025, from 10:00 AM to 12:00 PM ET (hyperlink). We are looking for 5 startups working on machine learning, AI, computational data science, advanced materials, nanotechnology, quantum materials & computing, and semiconductors to present at the webinar.
Global energy company seeking computer vision startups, focusing in particular on industrial assets (upstream, refineries, chemical).
Gerdau is looking for startups able to perform visual inspection on welding work, using computational image and ML/AI. Companies would be invited to present to a group of ten of Gerdau's biggest fabricator clients in the US on Oct. 8th. These presentations would be part of Gerdau's Customer Advisory Board that has a focus on digital transformation and solutions.
In this computationally-assisted materials webinar, Attendees will gain insights into advanced algorithms, data-driven approaches, and the future of automated material synthesis. From optimizing material properties to scaling innovation, this session will showcase the practical benefits of computational research.
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.