Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...
Abstract: In this study, we investigate multilingual and multiclass sentiment classification by analyzing datasets in Turkish, English, and Italian. The proposed approach consists of three main stages ...
Assistant Professor Yupeng Zhang and his team, along with researchers from the University of California, Irvine, received a ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
PRNewswire/ - One year after the Palisades and Eaton fires devastated Los Angeles County, a new analysis of 11.8 million California residential properties finds that approximately $1 trillion in ...
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