IIT Delhi has announced admissions for its Applied AI, ML and Decision Science Programme, an eight-month online certification ...

The high dimensionality of microbial diversity data from ‘omics observations can be reduced using Machine Learning, with many recent studies showcasing ML utility for exploratory ecological feature ...

Systemic lupus erythematosus (SLE) is a clinically and biologically heterogeneous autoimmune disease in which patients with similar or disparate clinical phenotypes can exhibit distinct molecular ...

Abstract: Malfunction detection is crucial for software development and maintenance. Detecting abnormal behavior on time helps to avoid waste of time and resources. This paper presents a machine ...

The semiconductor industry is known for its complex production. Thousands of machines (tools) perform thousands of operations over a diverse range of products with re-entrant flows and shifting ...

If there’s one universal experience with AI-powered code development tools, it’s how they feel like magic until they don’t. One moment, you’re watching an AI agent slurp up your codebase and deliver a ...

In January 2026, Microsoft Defender Experts identified a new evolution in the ongoing ClickFix campaign. This updated tactic deliberately crashes victims’ browsers and then attempts to lure users into ...

Deciphering gene circuits can be tedious and immensely time consuming. Modifying, or designing gene circuits from previously identified pathways presents further challenges. “There are many possible ...

ABSTRACT: Forensic epigenetics has become a rapidly expanding frontier in molecular forensics, offering analytical capabilities that surpass those of traditional genetic markers. Advances in ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development. Whether the goal is to identify new applications for known materials or to ...