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AI model predicts human attention in 360-degree videos using both sound and vision
Virtual reality (VR) experiences and 360-degree videos are transforming viewers from passive observers into active ...
In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
What we encounter in LLMs is largely ourselves. A psychoanalytic AI take on transference, countertransference, and the ...
The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 earthquakes, according to a unique machine learning study that identified the ...
In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...
Machine learning is helping cyber teams process telemetry at scale to more quickly identify behavioral anomalies that might ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.
The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...
Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, ...
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