Abstract: Graph Neural Networks (GNNs) offer a promising direction for medical image analysis, particularly due to their ability to capture complex relationships and handle non-Euclidean data ...
AMD sees an emerging class of PC users running AI models locally on powerful, AI-optimized machines—a new category poised to compete with Nvidia's DGX Spark.
RIT computing students take a required co-op seminar class to help prepare for the internship search and what do to on the ...
Cyber Security Engineer: In the digital age, data security stands as the greatest challenge. The recent cyberattack on the medical device giant Stryker came as a shock to everyone. The attack targeted ...
During the Covid pandemic in mid-2021, when people had been social distancing for more than a year and most university classes were being conducted over Zoom, Jeremy Bailensen decided to hold his ...
Kettering Health is now facing more than 200 lawsuits related to the fallout from the health system’s 2025 cyberattack, in which a ransomware incident caused more than two weeks of care disruptions ...
A novel workflow combining comprehensive two-dimensional gas chromatography (GC×GC) with computer vision (CV) was developed to analyze the complex volatile profiles of coffee. By generating composite ...
The BNY Mellon Equity Income Fund returned 2.86% in Q4 2025, outperforming its S&P 500 benchmark. Read the full analysis for more details.
As the school year enters its second half, high schools gear up for their hall of fame festivities. Athletes, academics and achievers are all set to be honored by their alma maters in events this ...
A soldier who “made you feel important,” a mother just days from returning home, and a son known to be the life of the party were among the group of six service members killed after an Iranian strike ...
A soldier who “made you feel important,” a mother just days from returning home, and a son known to be the life of the party ...
The new pact includes additional protections to prevent the use of the company’s technology for mass surveillance of ...