How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce MacFadden, UF Distinguished Professor Emeritus and retired curator of ...

The service robotics sector is increasingly transitioning from a research-focused stage toward commercialization-led growth. Nightfood Holdings’ acquisition of intellectual property related to its BIM ...

When it comes to keeping businesses safe, investing in an effective Fire Watch Guards Service is crucial, but what happens ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

ECE Prof. B.S. Manjunath, is honored as the first Frank Koenig Distinguished Chair — one four endowed chairs in the department From the Robert Mehrabian College of Engineering News (RMCOE) article ...

Abstract: The rising global demand for aquaculture products necessitates sustainable alternatives to traditional farming methods that often rely on manual monitoring prone to errors and inefficiencies ...

BILLUND, Denmark, Jan. 12, 2026 /PRNewswire/ -- Today, LEGO® Education announced a new hands-on solution and curriculum for computer science and artificial intelligence (AI) for K-8 classrooms that ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

Amazon just announced its new AI PhD Fellowship program, which will provide two years of funding for more than 100 PhD students at nine universities who are pursuing research on core AI disciplines ...

Ten Carnegie Mellon doctoral students pursuing artificial intelligence research will receive support from Amazon through the company's new AI Ph.D. Fellowship Program. The students come from across ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...