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What is visual computing? This field of research—sometimes called vision and graphics—covers the union of computer vision, graphics, and imaging. It is a thriving area of academic inquiry that supports specific visual computing departments in most major academic institutions. Here at MIT, CSAIL’s robust team of researchers have produced breakthroughs such as the late Professor Seth Teller’s visionary work on city scanning, previous MIT Associate Professor Leonard McMillan’s image-based rendering methods, Professor William Freeman’s participation in the first images of the supermassive black hole at the center of our galaxy, and Professor Frédo Durand, Assistant Professor Jonathan Ragan-Kelley, and Professor Saman Amarasinghe’s Halide compiler, now used by Google, Facebook, Adobe, and more. The Visual Computing Community of Research at MIT has also produced startup companies like PathAI, a medical AI tool for pathology diagnostics, and Hosta a.i., which combines computer vision and architecture for automated property assessments.
Research in visual computing continues to grow and expand, especially at MIT, and the technologies being invented at CSAIL right now are sure to have a major impact on industry to come just as they have in the past. Join the mailing list to learn how the research initiative is leading the new frontier of visual computing technologies.
In addition to signing up for the VisualComputing@CSAIL mailing list, we invite you to join the mailing lists for our other research initiatives listed in the form on the right. Learn about each opportunity individually or chose the “General CSAIL Alliances communications” to receive a monthly email highlighting news, research, and events across CSAIL Alliances programs.
MIT Future of Data
This initiative is an opportunity for industry partners to work with MIT researchers on new policy-informed, technical approaches to today’s privacy challenges, to understand the implications of new laws such as the GDPR, and to lead a global dialogue with policymakers, civil society, and industry leaders as we shape the future of privacy and data governance.
MachineLearningApplications@CSAIL
This initiative focuses on applications of the latest machine learning (ML) technologies, resolving the current challenges which limit the abilities of ML, and addressing professional development skills that will help prepare a company’s workforce for this digital transformation.
FinTech@CSAIL
This initiative aims to advance the state-of-the-art in collaboration with select industry partners to address the hardest problems facing the finance industry today and develop the next generation of impactful technologies that will open up new business models, broaden access, gain new data insights, and improve security.