One year on from the wildfires in Southern California, a reporting project allowed survivors to recall possessions they lost and those they were able to save. This summer, eighteen high school ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
func main() { s:= [11]byte{'H', 'e', 'l', 'l', 'o', ' ', 'W', 'o', 'r', 'l', 'd'} str:= ToString(&s) } func ToString[???](arr *BA) string { return unsafe.String ...
Recent research suggests that humans have a surprising ability—we can sometimes feel a physical object before making contact with it. In a study published this past October in the journal IEEE ...
Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
Abstract: Effective solution of foreign object detection (FOD) in the charging area is crucial for ensuring safety and efficiency in wireless charging for electric ...
When working with shredded variants, we need the ability to copy nested object fields and array elements of one variant to a destination. This is a byte-wise copy that relies on the fact that the new ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
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