Nature

'Tiny' AI model beats massive LLMs at logic test

The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...

Stepwise regression predicts Arctic sea-ice extent with high accuracy

Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...
How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
How-To Geek on MSN

5 Reasons Jupyter Notebooks With Python Are Better Than Excel for Data Analysis

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...
IEEE

Discretized Urban Path Loss Modeling at 3.5 GHz Using Geospatial Features and Machine Learning Techniques: From Regression to Classification

Abstract: Accurately modeling and predicting urban path loss is a challenging task due to the fact that conventional regression models yield continuous estimates that can hide important performance ...
C&EN

A Data-Driven Symbolic Regression Framework for Modeling and Multiobjective Optimization of a Microbial Fermentation System

Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi 110016, India ...
avenuemail.in

Excel India Model School hosts Rangoli contest

Jamshedpur, Oct 19: Excel India Model School, Birsanagar, celebrated Diwali by organizing a clay lamp decoration competition for the junior group and a Rangoli competition for the senior group. The ...
IEEE

Research on the Liquor Yield Prediction Model Integrating Hybrid Kernel Support Vector Regression and Dung Beetle Optimizer

Abstract: To enhance the efficiency of liquor production and reduce subjective errors caused by manual operations, this study explores the relationship between production process parameters and yield ...