Accuracy test for protein language models shines light into AI 'black box'

AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology ...
The Robot Report

PhAIL ranks top robotics foundation models on real hardware

Positronic Robotics has launched PhAIL, a benchmark evaluating physical AI models on commercial tasks using throughput and ...

Can you trust a finding? A new project maps which studies replicate

Findings from the Systematizing Confidence in Open Research and Evidence (SCORE) program—a collaborative effort involving 865 ...
InfoWorld

Meta shows structured prompts can make LLMs more reliable for code review

A new “semi-formal reasoning” approach forces AI models to trace code paths and justify conclusions, improving accuracy while ...

Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...
Frontiers

Autonomous and AI-Driven Inspection and Damage Assessment of Infrastructure

Aging infrastructure, increasing environmental demands, and the growing impact of climate change are placing unprecedented pressure on civil structures ...
IEEE

A Novel Single-Loop Kriging Modeling-Based Method for Time-Variant Reliability Analysis

Abstract: Time-variant reliability analysis is crucial for enhancing the safety and reliability of products throughout their service life. However, the performance analysis of a complicated mechanical ...