Unearthing experimental materials data buried in scientific papers using LLMs

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

What type of data is needed to find opportunities

What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...
Tech Xplore on MSN

From brain scans to alloys: Teaching AI to make sense of complex research data

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
Deep Learning with Yacine on MSN

Visualizing high-dimensional data using PCA in Scikit-Learn

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...
Becker's Hospital Review

Penn Medicine develops AI tool to streamline EHR data retrieval

Philadelphia-based Penn Medicine has developed a generative AI tool designed to help clinicians quickly identify and ...

Understanding Fourier Analysis: Uncovering Patterns in Time Series Data

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.
GitHub

mitag_analysis: A tool for getting 16S rRNA (v4 zone) and 18S rRNA (v9 zone) seqence for analysising from metagenome and metatranscriptome.

The mitag_analysis software is a tool designed for the extraction and analysis of 16S or 18S rDNA sequences from Illumina sequencing data. The command provided, mitag_analysis -i ./testdata -t 16S/18S ...