In a bid to improve quality control and reduce production errors, manufacturers are increasingly adopting automated anomaly detection systems. These systems automatically identify defects in ...

Kalyan Veeramachaneni and his team at the MIT Data-to-AI (DAI) Lab have developed the first generative model, the AutoEncoder with Regression (AER) for time series anomaly detection, that combines ...

SHENZHEN, China - MicroCloud Hologram Inc. (NASDAQ: HOLO), a global provider of holographic technology services with a market capitalization of $28.76 million, has announced the optimization of its ...

Cognite says it provides this context with Cognite Atlas AI, a low-code industrial AI workbench that delivers agents that use ...

Collaboration will initially enhance the speed, scale, and accuracy of anomaly detection and prevent operational disruptions Cognite, the global leader in Industrial AI, today announced that the ...

CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has developed an AI system that can automatically detect abnormalities in ...