This project focuses on altering the way trusted execution environments handle paging to decouple page access patterns from the control flow of the program, preventing an attacker from using these access patterns to learn information about program secrets.
A robot's physical form and its motion are innately coupled - in order to change its physical design, one must often change the way it moves, and vice versa. Can computers automatically and simultaneously design robot structure and motion?
We focus on learning combined modalities (cooking recipes and food images), analyzing differences in how a machine would objectively label an image compared to how a human subjectively does, and estimating the population health level from social media images.
We aim to create a virtual environment where agents learn to perform human tasks by executing programs. Furthermore, we aim to develop models that can generate such programs from video or text, enabling agents to understand and imitate such activities.
This week it was announced that MIT professor Armando Solar-Lezama has received a prestigious NSF award for junior faculty, to go towards a new project that could impact scientific discovery in domains as diverse as organic chemistry, RNA splicing and cognitive science.
On January 15, 2019, the MIT Internet Policy Research Initiative (IPRI) and Quest for Intelligence (QI) hosted the first MIT AI Policy Congress. The conference brought together global policymakers, technical experts, and industry executives to discuss the impact of AI across sectors, with panels on transportation and safety, manufacturing and labor, healthcare, criminal justice and fairness, national security and defense, and international perspectives.