Stefanie Mueller leads the HCI Engineering Group at CSAIL. In her work, she develops novel hardware and software systems that advance personal fabrication technologies.
It can be hard to keep track of all the numbers, statistics, and charts swirling around the internet -- we’re inundated with information that can be rapidly disseminated and dissected. To carve through some of the sludge, here’s a selected highlight of recent computer science related efforts to fight COVID-19.
A group of researchers from CSAIL came up with SprayableTech, a system that lets users create room-sized interactive surfaces with sensors and displays.
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.
Swarms of simple, interacting robots have the potential to unlock stealthy abilities for accomplishing complex tasks. Getting these robots to achieve a true-hive like mind of coordination, though, has still proved to be a hurdle.
A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has brought us closer to this chameleon reality, by way of a new system that uses reprogrammable ink to let objects change colors when exposed to ultraviolet (UV) and visible light sources.
From 3-D printing to 3-D knitting, CSAIL researchers venture to streamline design technology through AI. The computer-aided design tool allows for customization of patterns based on user preferences with minimal programming knowledge needed.
Robots that have been programmed to see or feel can’t use these signals quite as interchangeably. To better bridge this sensory gap, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have come up with a predictive artificial intelligence (AI) that can learn to see by touching, and learn to feel by seeing.
