A machine learning study evaluating UCI breast tumor data demonstrated that the XGBoost model achieved 97.3 percent accuracy, ...

Scientists have developed a new AI model that could provide UN nuclear inspectors with advanced capabilities to ...

Machine learning models trained on English healthcare data to predict postoperative hip replacement outcomes showed a ...

Businesses collecting those answers may expect a clearer picture of who will use services such as AI shopping assistance and ...

When "Effort Justification" and "Serendipity" act simultaneously, a powerful psychological impact that could be described as ...

This article details how Tree-Ising increases Qwen3.5-2B GSM8K accuracy from 21.6% to 69.4% using bit-level Ising edits—a ...

A research team comprising Md Samdani Azad, Minji Choi, and Tae-Hyung Lee has developed an explainable multi-target machine learning framework based on ...

Urban flooding increasingly disrupts transport systems in rapidly urbanizing cities, yet road-oriented flood-susceptibility assessments that integrate recurrent flood observations with geographically ...

Junjun Zheng’s FAM-Teach teaching evaluation framework reports smaller demographic gaps while sacrificing some prediction accuracy. Published November 7, 2026, in Discover Artificial Intelligence, the ...

Cloud-native GPU infrastructure turns fixed capex into flexible costs, while AI-led validation and optimization reduce screening time, synthesis cycles and early-stage attrition.Dublin, Nov. 13, 2026 ...

Chemotaxis, the ability of cells to detect and respond to chemical gradients, allows them to acquire nutrients, seek hosts, ...