But according to Siwei Lyu, a professor of computer science at the University of Buffalo, whose work focuses on deepfake detection, the reality is not so simple. As the technology to detect AI ...

“Although image boundary detection has been broadly studied since the early stage of computer vision, the accuracy of current best boundary detection algorithms is still unsatisfactory when the input ...

The study, published today in JAMA Neurology by a team at King's College London and University College London (UCL), shows how the tool significantly improves the detection of focal cortical ...

Allowing gas detection and identification in just seconds, approach using a coherent control strategy offers promise for real-time monitoring in environmental, health and industrial applications Date: ...

It was shown that using a Knowledge Graph (KG) ontology for RAG improves the QA accuracy, by taking into account relevant sub-graphs that preserve the information in a structured manner. In this paper ...

Chinese spying targeted the Trump and Harris campaigns. Millions of other Americans might be affected, as well.

The detectors, including versions that charge for access, such as Sensity, and free ones, such as Umm-maybe’s A.I. Art Detector, are designed to detect difficult-to-spot markers embedded in A.I ...

As powerful tools deep neural networks have been successfully adopted for nuclei detection in histopathology images, whereas require the same probability distribution between training and testing data ...

where M denotes any one of the general-tuned feature channels I, R, G, and B, whereas i and j are the horizontal and vertical coordinates of the corresponding channel.. Multiscale Saliency Computation ...

Each day, officials at TTIC (pronounced tee-tic) examine 5,000 to 6,000 pieces of intelligence, trying to assemble the best picture of what’s out there.