eLife

Critique of impure reason: Unveiling the reasoning behaviour of medical large language models

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Free courses to learn Python from IIT Bombay, Google, MIT & more

In this article, we will be sharing some free Python programming courses offered by SWAYAM, MIT and Google that can be great ...
marktechpost

Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes

Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and ...
MIT Technology Review

How AI and Wikipedia have sent vulnerable languages into a doom spiral

Machine translators have made it easier than ever to create error-plagued Wikipedia articles in obscure languages. What happens when AI models get trained on junk pages? When Kenneth Wehr started ...
Sports Illustrated

Elijah Moore uses 'good body language' and 'smart play' to seal Bills' primetime win

The game officially turned on captain Terrel Bernard's interception, but it was newcomer wide receiver Elijah Moore who sealed the Buffalo Bills' division win in Week 3. With the visiting Miami ...
Frontiers

Noninvasive prediction of EGFR 19Del and 21L858R subtypes in lung adenocarcinoma: a comparative study of logistic regression and decision tree models

1 Department of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China 2 Medical Imaging Research Center, Anhui Medical University, Hefei, China Objective: Despite the ...
GitHub

Natural Language Processing Approach to Twitter Sentiment Analysis: Apple and Google products

This project focuses on analyzing public sentiment toward Apple and Google products by leveraging Natural Language Processing (NLP) techniques. The primary objective is to develop a robust model ...
C&EN

Tile-Based Fisher Ratio Analysis with Support Vector Machine Regression Modeling of GC×GC-TOFMS Data of VOCs Produced by Malassezia pachydermatis Grown at Variable pHs

Department of Chemistry, University of Washington, Seattle, Washington 98195-1700, United States ...
The Hacker News

CISA Orders Immediate Patch of Critical Sitecore Vulnerability Under Active Exploitation

Federal Civilian Executive Branch (FCEB) agencies are being advised to update their Sitecore instances by September 25, 2025, following the discovery of a security flaw that has come under active ...
marktechpost

Google AI’s New Regression Language Model (RLM) Framework Enables LLMs to Predict Industrial System Performance Directly from Raw Text Data

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...
IEEE

Remote Healthcare Monitoring Architecture for Diabetes Patients Using Logistic Regression in Comparison Support Vector Machine for Improving Precision

Abstract: The purpose of this project is to monitor remote healthcare and assist individuals with diabetes in making diabetic predictions. This study is divided into two groups. While the second group ...
Scientific Research Publishing

Maulud, D., & Abdulazeez, A. M. (2020). A Review on Linear Regression Comprehensive in Machine Learning. Journal of Applied Science and Technology Trends, 1, 140-147.

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...