News

AI In Tax: Using LLMs To Work Smarter With Spreadsheets
AI won’t replace spreadsheets in tax, but LLMs can improve how we use them. Learn how LLMs handle spreadsheet tasks, what ...
British Journal of Ophthalmology17d
Prediction of repeatable glaucomatous visual field defects based on cluster characteristics
Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...
eLife12d
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
eLife7d
A quantitative pipeline for whole-mount deep imaging and analysis of multi-layered organoids across scales
Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...
Techzine Europe13d
Is English the next programming language? JetBrains’ CEO says no
JetBrains is positive about the future, with CEO Kirill Skrygan highlighting the company's key offerings as AI coding takes ...
Visual Studio Magazine6d
Kernel Ridge Regression with Stochastic Gradient Descent Training Using C#
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
Scientific Research Publishing13d
Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...