Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...
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The buying on the counter came after the company released its Q3FY26 numbers on Friday, after market hours. Brokerages ...
Abstract: This study compares the performance of two topic modeling techniques, Latent Dirichlet Allocation (LDA) and BERTopic, in analyzing short, unstructured traffic complaint texts from Twitter.
Social engagement in environmental issues has significantly increased with the rise of social media, which plays a critical role in shaping public perception of climate change. This study examines the ...
This project implements a hybrid data mining framework that integrates Unsupervised Topic Modeling (LDA) with Large Language Model (LLM) Zero-shot Reasoning to predict Dow Jones Industrial Average ...
Disturbances to the gut microbiome contribute to health conditions like inflammatory bowel disease (IBD). To better understand how those microbes interact with each other and their environment, ...
In this tutorial, we present a complete end-to-end Natural Language Processing (NLP) pipeline built with Gensim and supporting libraries, designed to run seamlessly in Google Colab. It integrates ...
Researchers from University of California San Diego Sanford Stem Cell Institute have discovered that spaceflight accelerates the aging of human hematopoietic stem and progenitor cells (HSPCs), which ...
Objective Comprehensive data and analyses on cardiovascular research could clarify recent research trends for the academic community and facilitate policy development. We examined publications and ...