Primary liver cancer and colorectal liver metastases (CRLM) pose significant challenges, because of limited early diagnosis and the reliance on time-consuming frozen section analysis during surgery to ...

VE3 AI Research publishes a study on synthetic data, magnetic dipole modeling, and unsupervised AI for scalable anomaly ...

Abstract: The continuously growing amount of monitored data in the Industry 4.0 context requires strong and reliable anomaly detection techniques. The advancement of Digital Twin technologies allows ...

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

Abstract: Weakly supervised video anomaly detection is a challenging problem due to the lack of frame-level labels in training videos. Most previous works typically tackle this task with the multiple ...

This work was supported by a grant from the MD-PhD/Medical Scientist Training Program through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, ...

Attention-guided generator with dual discriminator GAN for real-time video anomaly detection 2024 J-EAAI Model Video anomaly detection guided by clustering learning 2024 J-PR Model Toward Video ...

These short anomaly-detection puzzles are designed to illustrate how reasoning often depends on identifying inconsistencies ...

New anomaly detection capability helps operations teams identify unusual behavior without manually tuning alert thresholds.

Rocket Lab quietly launched a small satellite from New Zealand on Friday in a high-flying military exercise to test the US ...

Deepfake faces generated via artificial intelligence (AI) have become so realistic that they routinely fool people, with some ...

Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...