Safer skies with self-flying helicopters
In late 2019, after years of studying aviation and aerospace engineering, Hector (Haofeng) Xu decided to learn to fly helicopters. At the time, he was pursuing his PhD in MIT’s...
Six MIT students selected as spring 2024 MIT-Pillar AI Collective Fellows
The MIT-Pillar AI Collective has announced six fellows for the spring 2024 semester. With support from the program, the graduate students, who are in their final year of a master’s...
How symmetry can come to the aid of machine learning
Behrooz Tahmasebi — an MIT PhD student in the Department of Electrical Engineering and Computer Science (EECS) and an affiliate of the Computer Science and Artificial Intelligence Laboratory (CSAIL) —...
Doctors have more difficulty diagnosing disease when looking at images of darker skin
When diagnosing skin diseases based solely on images of a patient’s skin, doctors do not perform as well when the patient has darker skin, according to a new study from...
Generating the policy of tomorrow
As first-year students in the Social and Engineering Systems (SES) doctoral program within the MIT Institute for Data, Systems, and Society (IDSS), Eric Liu and Ashely Peake share an interest...
Q&A: A blueprint for sustainable innovation
Atacama Biomaterials is a startup combining architecture, machine learning, and chemical engineering to create eco-friendly materials with multiple applications. Passionate about sustainable innovation, its co-founder Paloma Gonzalez-Rojas SM ’15, PhD ’21...
What to do about AI in health?
Before a drug is approved by the U.S. Food and Drug Administration (FDA), it must demonstrate both safety and efficacy. However, the FDA does not require an understanding a drug’s...
New hope for early pancreatic cancer intervention via AI-based risk prediction
The first documented case of pancreatic cancer dates back to the 18th century. Since then, researchers have undertaken a protracted and challenging odyssey to understand the elusive and deadly disease....
Reasoning and reliability in AI
In order for natural language to be an effective form of communication, the parties involved need to be able to understand words and their context, assume that the content is...
