Machine learning classifies data for enhanced algorithm performance in various applications. Lazy learners and eager learners represent key categories of classification algorithms. Effective data ...

There is a rising controversy about Machine Learning myopia as to overlooking the value of neuro-symbolic AI or hybrid AI, which has crucial ramifications for AI and AI Ethics. This includes the ...

Unsupervised, model-free method preserves key data better than traditional statistical techniques for next generation cognitive ML for multi-modal data. These methods prove the utility of algorithmic ...

Making a personalized T cell therapy for cancer patients currently takes at least six months. Scientists have shown that the laborious first step of identifying tumor-reactive T cell receptors for ...