It is important whenever designing new technologies to ask “how will this affect people’s privacy?” This topic is especially important with regard to machine learning, where machine learning models are often trained on sensitive user data and then released to the public. For example, in the last few years we have seen models trained on users’ private emails, text messages, and medical records.
This article covers two aspects of our upcoming USENIX Security paper that investigates to what extent neural networks memorize rare and unique aspects of their training data.
Specifically, we quantitatively study to what extent following problem actually occurs in practice:
Traveling to six countries in eighteen days, I journeyed with the goal of delving deeper into the roots of my family before World War II. As a child of refugees, my parents’ narrative is missing huge gaps of information. Still, more than seventy-eight years since the disappearance of my Grandmother and Uncles, we can only presume with a degree of certainty their demise in the mass graves of the forest outside of Riga, Latvia. In our data rich world, archivists are finally piecing together new clues of history using unmanned systems to reopen cold cases.
Current research is aligned with the need of rescue workers but robustness and ease of use remain significant barriers to adoption, NCCR Robotics researchers find after reviewing the field and consulting with field operators.
IJCAI, the 28th International Joint Conference on Artificial Intelligence, is happening from the 10th to 16th August in Macao, China. We’ll be posting updates throughout the week thanks to the AIhub Ambassadors on the ground. Stay tuned.
Guided by artificial intelligence and powered by a robotic platform, a system developed by MIT researchers moves a step closer to automating the production of small molecules that could be used in medicine, solar energy, and polymer chemistry.
In this episode, Audrow Nash interviews Brian Gerkey, CEO of Open Robotics about the Robot Operating System (ROS) and Gazebo. Both ROS and Gazebo are open source and are widely used in the robotics community. ROS is a set of software libraries and tools, and Gazebo is a 3D robotics simulator. Gerkey explains ROS and Gazebo and talks about how they are used in robotics, as well as some of the design decisions of the second version of ROS, ROS2.
In this episode, Lauren Klein interviews Michal Luria, a PhD candidate in the Human-Computer Interaction Institute at Carnegie Mellon University, about research that explores the boundaries of Human-Robot Interaction. Michal draws inspiration from the Medieval Times for her project to test how historical automata can inform modern robotics. She also discusses her work with cathartic objects to support emotional release.
In this episode of Robots in Depth, Per Sjöborg speaks with Federico Pecora about AI and robotics. Federico Pecora is Associate Professor in Computer Science at the Center for Applied Autonomous Sensor Systems at Örebro University, Sweden.
Fernando “Corby” Corbató, an MIT professor emeritus whose work in the 1960s on time-sharing systems broke important ground in democratizing the use of computers, died on Friday, July 12, at his home in Newburyport, Massachusetts. He was 93.
The installation Concrete Choreography presents the first robotically 3D printed concrete stage, consisting of columns fabricated without formwork and printed in full height within 2.5 hours. Robotic concrete printing allows customised fabrication of complex components that uses concrete more efficiently.