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.

MIT and University of Michigan researchers released a report on the security of OmniBallot, an Internet voting and ballot delivery system produced by Democracy Live. This system has been deployed in Delaware, West Virginia, and other jurisdictions.

In a virtual discussion hosted by MIT last week, viewers learned that there are many problems that concern Microsoft President Brad Smith: things like climate change, Covid-19, and the work of the future.

Tonya Hall speaks with Dr. Una-May O'Reilly, MIT IBM Watson AI lab, to learn more about the current status of artificial adversarial intelligence and the strengths of adversarial dynamics over model-based malware detectors.

A team led by MIT researchers and including experts from many institutions is developing a system that augments “manual” contact tracing by public health officials, while preserving the privacy of all individuals.

New privacy laws like Europe’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) have spawned a new industry of companies and platforms advertising that they can anonymize your data and be compliant with the law. 

Solar-Lezama has received a $10 million NSF Expeditions in Computing grant for his work on demonstrating that the combination of deep learning and symbolic reasoning can lead to new learning techniques that can better incorporate prior knowledge and produce interpretable models.

According to MIT CSAIL's Dr. Amar Gupta, whose work concentrates on telemedicine, there are currently many barriers to making health care better, safer, and more affordable for everyone, despite government claims that electronic health records would revolutionize the system.