In fraud and bot detection, people usually think of fingerprinting as the classic browser or device fingerprint. This comes ...

Jeff Carlson writes about mobile technology for CNET. He is also the author of dozens of how-to books covering a wide spectrum ranging from Apple devices and cameras to photo editing software and ...

Baidu's ERNIE-5.0-0110 ranks #8 globally on LMArena, becoming the only Chinese model in the top 10 while outperforming ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...

There is a phenomenon in artificial intelligence and deep learning called model collapse. Model collapse is the slow erosion of a generative AI system grounded in reality as it learns more and more ...

Researchers risk fire, explosion or poisoning by allowing AI to design experiments, warn scientists. Some 19 different AI ...

Data centers have been a big topic across the nation over the past few years. There's been a push for more data centers in the Midwest, specifically AI data centers. In short, data centers are ...

Local fights against new data centers are gaining bipartisan support across the US. Local fights against new data centers are gaining bipartisan support across the US. is a senior science reporter ...

Dec 19 (Reuters) - Global data-center dealmaking surged to a record high through November this year, driven by an insatiable demand for computing infrastructure to meet the boom in artificial ...