A resident electricity load identification algorithm ... diagram for generating the new features. fields, which inspires us to discuss in this orientation. CNN can directly encode the spatial ...

Purdue engineers are developing CT-Bound and MetaHDR, imaging technologies with applications as broad as medical imaging, ...

The 18-year-old won $250,000 for training a machine learning model to analyze understudied data from NASA's retired NEOWISE telescope ...

Research students at LSU are working to decrease intersection crashes through implementing an artificial intelligence ...

Object detection is performed on the captured data to determine the impact of rain on performance. Four object detection algorithms, a segmentation algorithm, and an optical character recognition ...

Apr. 23, 2025 — New multidisciplinary research shows that the brain forms memories of cold experiences and uses them to control our metabolism. The study shows that cold memories form in the ...

Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple diagrams ... FlashAttention algorithm, thus verifying its effectiveness, "we hope to now ...

The loss function of object detection algorithms typically includes the following components: TP (True Positive) refers to the number of actual positive samples correctly predicted by the model, FP ...