Abstract: Anomaly detection is a critical aspect of industrial production processes. Most of the self-supervised training system utilise Convolutional Neural Networks (CNNs) for feature extraction.
UK charity ‘Music for All’ have announced that their highly anticipated annual flagship event Learn to Play is returning this ...
Retirement isn’t a slowdown—it’s a brain upgrade powered by ten tiny, joyful habits you’ll actually look forward to doing ...
This step-by-step revision strengthens the brain's ability to recall and ensures the information shifts into your long-term ...
Stretching your ability to focus is good for the brain. Paying close attention like that encourages the brain to pump more acetylcholine (a brain chemical important for learning, attention, and memory ...
In a discovery that could reshape how we think about memory, researchers at Flinders University have found that forgetting is ...
The discovery could help pave the way for next-generation vaccines and immune therapiesA study published today in Nature Communications describes how ...
Your brain is complex, but once you figure out its little intricacies—that it can only store about seven units of information in short-term memory, for example—you can exploit them to help you ...
Abstract: Effective memory optimization is essential for tiny machine learning because tiny embedded systems generally have limited memory for model execution. Previous research has proposed various ...
The best teachers really grasp the concepts they're educating students on. There's a reason for that and you can harness the memory power of teaching, too.
This is the official PyTorch implementation of LLMDet. Recent open-vocabulary detectors achieve promising performance with abundant region-level annotated data. In this work, we show that an ...
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