New MIT/Harvard platform acts as gatekeeper to ensure web services adhere to data restrictions

Congratulations to Robert Morris, new member of NAE!

Last week MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) hosted a discussion with New York Times best-selling author Liza Mundy on her latest book, “Code Girls”, about the American women who cracked the Japanese and German code to help win World War II.

This week CSAIL principal investigators Regina Barzilay, Tommi Jaakkola, Manolis Kellis and Peter Szolovits were named among the top 100 global leaders for AI and health.

Workshop explores technical directions for making AI safe, fair, and understandable

MIT professor Stefanie Mueller has received a National Science Foundation Career Award, a prestigious award for junior faculty.

Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.

Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.

Nicolas Miailhe, a co-founder of the Future Society, asking a question during a gathering of global policymakers last week at the Massachusetts Institute of Technology.

MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.

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.

Last week MIT’s Institute for Foundations of Data Science (MIFODS) held an interdisciplinary workshop aimed at tackling the underlying theory behind deep learning. Led by MIT professor Aleksander Madry, the event focused on a number of research discussions at the intersection of math, statistics, and theoretical computer science.

CSAIL’s “de-biasing” framework can make face-detection systems less racist

Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.

MIT CSAIL and QCRI have been collaborating together since 2013.

Vinod Vaikuntanathan aims to improve encryption in a world with growing applications and evolving adversaries.

Tool for nonstatisticians automatically generates models that glean insights from complex datasets.

System breaks down complex designs into easily modifiable shapes for custom manufacturing and 3-D printing.

Cambridge Mobile Telematics Raises $500M from SoftBank Vision Fund

The 18 biggest computer science stories of 2018

CSAIL’s approach uses algorithms and “2.5-D” sketches to let computers visualize images from any perspective

MIT Professor Ted Adelson named IEEE Fellow

Programming language works at a larger scale, outperforming existing frameworks while also reducing the lines of code