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.
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.
MIT Startup Exchange presents its September Startup Workshop, centered around real-world IoT and edge computing. Many companies are grappling with how to use IoT and data/AI in their organization to monitor, predict, improve, and transform what they do. Meanwhile, many MIT startups are developing and providing innovative technology solutions to answer these very questions for industry. This workshop will present perspectives from industry leaders, academics, and corporate investors, while also showcasing select MIT startups in the field.