Automated high-throughput system developed to generate structural materials databases

A NIMS research team has developed an automated high-throughput system capable of generating datasets from a single sample of ...

Meta’s SPICE framework lets AI systems teach themselves to reason

The self-play framework uses a 'Challenger' and a 'Reasoner' to create a self-improving loop, pushing the boundaries of AI ...
Semiconductor Engineering

AI-Driven Collaboration: Transforming The Semiconductor Industry’s Operating Model

John Kibarian, CEO of PDF Solutions, recently outlined a vision for AI-driven collaboration at the SEMICON West CEO Summit, a ...
IEEE

Dynamic Data Reconciliation for Enhanced Control Performance of Systems with Data-Driven Model

Abstract: Effective control of chemical processes is an important prerequisite for ensuring production benefits. Traditionally, the influence of feedback measurement noise is not considered in the ...
IEEE

Sliding Window Online Anomaly Detection for Dynamic Systems with Unsupervised Algorithms

Online Anomaly detection in operational data from dynamic systems is challenging due to the inherent complexity and variability of these datasets. This research introduces an innovative approach that ...
Thales Group

In the loop: how OODA provides a guiding principle to Thales technologies for Armed Forces

The OODA loop is a ‘competitive decision-making’ model formulated by American fighter pilot John Boyd. First created to help US fighter pilots gain the upper hand in dogfights, the OODA loop has been ...