MIT EECS professor Jonathan Ragan-Kelley received ACM SIGGRAPH'S 2021 Significant New Researcher Award, for his “outstanding contributions to systems and compilers in rendering and computational photography,” according to ACM’s press release.
The national dialogue on race has progressed powerfully and painfully in the past year, and issues of racial bias in the news have become ubiquitous. However, for over a decade, researchers from MIT’s Imagination, Computation, and Expression Laboratory (ICE Lab) have been developing systems to model, simulate, and analyze such issues of identity.
CSAIL will be launching a new initiative focused on machine learning applications. MachineLearningApplications@CSAIL, or “MLA@CSAIL”, will focus on current challenges in machine learning to prepare industry members for digital transformation in their workplaces.
The 4th annual Congress was a virtual event that featured the final report from the MIT Task Force on the Work of the Future. Hosted by MIT's Task Force on Work of the Future, CSAIL, and Initiative on the Digital Economy, this year's Congress highlighted research findings from the MIT Task Force on Work of the Future's final report released in November 2020. Given the rapidly changing environment brought on by Covid-19, this topic is more important and relevant than ever.
Given that our smartphones have largely become appendages over the last decade, it’s hard to imagine that ten years ago there was no Instagram, Uber, TikTok or Tinder. The ways we move, shop, eat and communicate continue to evolve thanks to the technologies we use. It can be easy to forget how quickly things have changed - so let’s turn back the clocks and reminisce about some of the computing breakthroughs that have transformed our lives in the ’10s.
Cameras and computers together can conquer some seriously stunning feats. Giving computers vision has helped us fight wildfires in California, understand complex and treacherous roads — and even see around corners.
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are working on the problem, and have developed a new system called “Minerva” that allows multiple people to stream video over a single network with minimal buffering and pixelation.
Continue the conversation of AI and the Future of Work
After the AI and the Future of Work Congress on Nov 21, keep the conversation going! Cap off your time on campus by participating in the AI & Work of the Future Unconference on Friday, November 22.
Join fellow participants and bring your biggest questions and most innovative ideas to this half-day event. No pre-determined topics, keynotes, or panels - we’ll amplify and facilitate the AI and future of work-driven conversations that matter most to you and your organization.