In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

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 ...

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 ...

Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their ...

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 ...