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Scientists just developed ultra-strong steel that resists rust completely

Scientists Just Developed Ultra-Strong Steel That Resists Rust Completely ...
voxelmatters

Machine learning model designs rust-resistant, ultra-high strength steel for 3D printing

A research team from the University of South China and Purdue University has developed a new class of ultra-high strength, high-ductility steel for 3D printing using an interpretable machine learning ...
EurekAlert!

Machine learning designs cheaper and rust-proof steel for 3D printing

A close-up of a laser-directed energy deposition (LDED) system fabricating the novel AI-designed ultra-high strength steel, which achieves a rare balance of strength and ductility, excellent corrosion ...
The New York Times

This A.I. Tool Is Going Viral. Five Ways People Are Using It.

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...
GeekWire

Orange Crabs in the Machine: How Rust is rewriting the rules of modern software

Rust mascot Ferris the crab welcomes attendees to RustConf 2025 in Seattle, where the community marked the 10th anniversary of the open-source programming language’s first stable release, and ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
IEEE

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
IEEE

Towards Wheat Rust Disease Classification using Different Machine Learning Approaches: A Systematic Literature Review

Abstract: This systematic literature review explores various machine learning (ML) approaches for the classification of wheat rust diseases, a significant threat to global food security. With the ...
PNAS

In silico machine learning–enabled detection of polycyclic aromatic hydrocarbons from contaminated soil

Soil contamination by environmental pollutants, particularly polycyclic aromatic hydrocarbons (PAHs), can significantly affect human health due to their carcinogenic and mutagenic properties. In this ...