Artificial intelligence meets “blisk” in new DARPA-funded collaboration
Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery.
Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery.
A new study of bubbles on electrode surfaces could help improve the efficiency of electrochemical processes that produce fuels, chemicals, and materials.
Because it doesn’t need expensive energy storage for times without sunshine, the technology could provide communities with drinking water at low costs.
Inspired by traditional medicine, 17-year-old Tomás Orellana is on a mission to identify plants that can help treat students’ health issues.
After an illustrious career at Idaho National Laboratory spanning three decades, Curtis Smith is now sharing his expertise in risk analysis and management with future generations of engineers at MIT.
Study reveals the drug, 5-fluorouracil, acts differently in different types of cancer — a finding that could help researchers design better drug combinations.
Advisors commended for providing exceptional individualized mentoring for postdocs.
MIT’s innovation and entrepreneurship system helps launch water, food, and ag startups with social and economic benefits.
Anthropologists Manduhai Buyandelger and Lauren Bonilla discuss the humanistic perspective they bring to a project that is yielding promising results.
MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.
MIT and Lincoln Laboratory are among awardees of $38 million in project awards to the Northeast Microelectronics Coalition to boost U.S. chip technology innovation.
The 2024 report highlights five years of global progress but uncovers gaps between companies’ sustainability goals and the investments required to achieve them.
Today’s regulations for nuclear reactors are unprepared for how the field is evolving. PhD student Liam Hines wants to ensure that policy keeps up with the technology.
New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.