Abstract: Ransomware attacks continue to threaten global cybersecurity, crippling systems through data encryption and extortion. Traditional detection methods struggle with evolving threats like ...

Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...

Start-ups are evaluated across three main areas: financial performance, funding and valuation, and operational capabilities. The study focuses entirely on Series B and Series C start-ups. For states ...

Pune: Activists and experts had last year slammed Pune Municipal Corporation's (PMC) latest Environment Status Report (ESR) ...

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears ...

1 Beijing Forestry University, Beijing, China 2 Ecological Environment Monitoring Center, Sichuan Forestry and Grassland Survey and Planning Institute, CHENGDU, China The final, formatted version of ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.

Abstract: This study investigates the application of machine learning (ML) algorithms to predict the received signal strength indicator (RSSI) in free space optical (FSO) communication systems ...

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...