"Hiding hate symbols within innocent images has become a way to spread hate across the web, so much so that the practice ...

LLMs can create 10,000 malware variants evading detection with 88% success, degrading ML classifiers and risking AI model ...

Don't implement it yet, and you might miss out on productivity gains and other potential benefits, but do it wrong, ...

Character AI faces multiple lawsuits alleging that its AI companion bots promoted self-harm among teenage users.

Character AI is facing at least two lawsuits, with plaintiffs accusing the company of contributing to a teen's suicide and ...

Following a pair of lawsuits alleging that chatbots caused a teen boy's suicide, groomed a 9-year-old girl, and caused a vulnerable teen to self-harm, Character.AI (C.AI) has announced a separate ...

The results on AI-based classifiers for lung cancer were generated using Qlucore Insights and presented at The Molecular Analysis for Precision Oncology Congress 2024, in London, UK. This study ...

Abstract: The high performance of tree ensemble classifiers benefits from a large set of rules, which, in turn, makes the models hard to understand. To improve interpretability, existing methods ...

Definition: Naive Bayes algorithm based on Bayes’ theorem with the assumption of independence between every pair of features. Naive Bayes classifiers work well in many real-world situations such as ...

When the class values are ordinal, classifiers that take this into account can perform better than nominal classifiers. Time-series ordinal classification (TSOC) is the field bridging this gap, yet ...