Two ever-popular courses in Duke’s Master of Engineering for MedTech Design program led by industry-seasoned faculty ...
First author Canyu Chen led a multi-institution research team in developing a scalable approach to training AI agents without sacrificing users’ data privacy.
In a 48-hour whirlwind, President Trump ordered every federal agency to ditch Anthropic's Claude chatbot, with Defense ...
This project aims to develop a computational framework combining computer vision, computer graphics, and machine learning to accelerate and improve the design and simulation of camera lenses.
On February 5, 2026, five Illinois residents filed a class action lawsuit against Microsoft in a federal court in Washington. The plaintiffs, including Alex Basich, Kristin Bondlow, and three others, ...
Ozarks Lyric Opera will present "Master Class," a Tony Award-winning play by Terrence McNally, at the Historic Gillioz Theatre in downtown Springfield, according to a community announcement. The ...
A preliminary settlement has been filed in a class action that claimed Google was quietly transferring Android user data over cellular connections. The case hinged on the “conversion” of cellular data ...
Johns Hopkins University's online engineering graduate degree programs continue to rank among the nation's top 10, according to U.S. News & World Report's Best Online Master's in Engineering Programs ...
WEST LAFAYETTE, Ind. — Online master’s programs in engineering and education from Purdue University once again achieved top rankings in U.S. News & World Report’s 2026 list of the best online graduate ...
BOISE, Idaho — A second class-action lawsuit has been filed against PowerSchool, the student data company widely used by K-12 schools, alleging the company improperly collects, uses and shares student ...
A New York federal judge merged class actions against SitusAMC after a November 2025 data breach exposed client information. Proceedings will now be streamlined. AI Summary A federal judge in New York ...
Abstract: Class imbalance, which is common in real-world classification tasks, often leads to biased models favoring majority classes. Data oversampling is a widely used strategy to address this issue ...