A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

FIA refines 2026 Formula1 regulations after Bahrain meetings, with driver feedback, engine checks, and possible Sprint race ...

A potentially critical meeting involving the power unit manufacturers, the FIA and FOM is set to be held on Wednesday morning ...

Leapwork recently released new research showing that while confidence in AI-driven software testing is growing rapidly, accuracy, stability, and ongoing manual effort remain decisive factors in how ...

Background The limited literature provides minimal information on clinical outcomes among patients undergoing percutaneous coronary intervention (PCI) under different healthcare funding systems, ...

Background Community-based health insurance (CBHI) is crucial for strengthening primary healthcare (PHC) and progressing ...

Coverage marks a pivotal step in expanding access to ultra-sensitive MRD detection for breast cancer patients U.S. Medicare coverage decision reflects published, peer-reviewed clinical data ...

Large Language Models (LLMs) have shown substantial improvements in reasoning and precision through reinforcement learning (RL) and test-time scaling techniques. Despite outperforming traditional unit ...

Abstract: To address the issue of low efficiency and inability to cover all test scenarios in manually generated test datasets, an automated test case generation method called Critical Network Layer ...

Automated penetration testing, powered by reinforcement learning (RL), has gained prominence for reducing human effort and increasing reliability. However, dealing with the rapidly expanding scale of ...

Background: Despite their utility for program planning, acute malnutrition treatment coverage estimates at the national and sub-national levels are rarely available. Prior work has identified ...