Abstract: Defect detection stands as a pivotal quality control measure within the realm of manufacturing. Recent studies have witnessed the successful implementation of defect detection systems across ...

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during ...

Researchers propose a new alignment-aware state-space fusion framework called MambaAlign that produces tighter, less fragmented anomaly maps, and is substantially more robust to modest misalignment ...

Variation is becoming a bigger problem in multi-die assemblies with TSVs and hybrid bonding. Multi-modal approaches are required to test these devices. AI plays a role in improving defect capture rate ...

Effectively detecting subtle surface defects in strip steel is vital for industrial quality assurance; however, most existing approaches fail to strike an optimal balance between accuracy and ...

The ADL ranked the leading large language models based on their ability to identify and counter ‘anti-Jewish’ and ‘anti-Zionist’ theories Anthropic’s artificial intelligence system is strongest at ...

The AI model rapidly maps boundary conditions to molecular alignment and defect locations, replacing hours of simulation and enabling fast exploration and inverse design of advanced optical materials.

Photo-induced force microscopy (PiFM) is a sophisticated nanoscale characterization approach that combines the elevated spatial resolution of atomic force microscopy (AFM) with infrared (IR) ...

OpenAI is rolling out an age prediction model on ChatGPT to detect your age and apply possible safety-related restrictions to prevent misuse by teens. OpenAI no longer wants ChatGPT to surface adult ...

Google has quietly reworked Gemini‘s usage limits, splitting the shared pool and boosting the individual caps for the Thinking and Pro models. At launch, both models had the same daily quota, meaning ...