A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
With electronics increasingly facing the challenges of high speed and more complex designs, test and measurement vendors an avalanche of test data to process. In response, they are increasingly ...
Background: Thoracic spinal stenosis (TSS) is a rare yet debilitating condition, often requiring surgical decompression. Prognostic assessments traditionally rely on single clinical or imaging ...
A highly active person requires carbohydrates, proteins and fats to provide energy for and support recovery from physically demanding workdays. Caffeine will help you stay alert, but unlike good carbs ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
Background: The goal of early detection is individual cancer prediction. For lung cancer (LC), age and smoking history are the primary criteria for annual low-dose CT screening, leaving other ...
A weird phrase is plaguing scientific papers – and we traced it back to a glitch in AI training data
Aaron J. Snoswell receives funding from the Australian Research Council funded Discovery Project "Generative AI and the future of academic writing and publishing" (DP250100074) and has previously ...
If you’ve ever found yourself staring at a messy spreadsheet of survey data, wondering how to make sense of it all, you’re not alone. From split headers to inconsistent blanks, the challenges of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results