Journalists have uncovered a handful of preprint academic studies with hidden prompts instructing A.I. reviewers to give ...

Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical ...

AI is transforming software testing. Modern AI test management tools use machine learning and generative AI to automate test creation, exec ...

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

We take a deep dive into the inner workings of the wildly popular AI chatbot, ChatGPT. If you want to know how its generative ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Within the domain of unsupervised machine learning is unsupervised clustering, also known as “ clustering analysis,” which enables organizations to group unlabeled data into meaningful categories.

In unsupervised learning, the exploration of large volumes of textual data is a topic of significant interest. In this article, we present our compact and easy-to-use application to explore large ...

Subsequently, individual segmentation was achieved using the Watershed approach and k-means clustering algorithms, segmenting the field soybeans into individual plants. Finally, the LAI of soybean ...