Figure 1 presents the block diagram representing all steps from data collection, dataset generation, model training and aggregation, and activity recognition. Figure 1. Flow diagram of RF-enabled ...

A study in China found that AI can spontaneously develop human-like understanding of natural objects without being trained to do so.

We have been stuck in using neural network models to achieve radar target recognition for so many years. I just want to be back to the 90s and 00s, when people could also achieve complex tasks with a ...

The software is embroiled in legal challenges and was built on billions of images from social media, causing privacy concerns for some.

In the case of this single-pixel camera, the known information is the illumination, which is a Hadamard matrix pattern displayed on the 64 x 64 pixel LED matrix, ergo 4,096 possible patterns.

Computer vision techniques applied on images opportunistically captured from body-worn cameras or mobile phones offer tremendous potential for vision-based context awareness. In this paper, we ...

A new study shows that even today's most advanced AI vision-language models can't compare with human comprehension capabilities.

The human brain has been called the ultimate pattern recognition tool. But now, here in the Anthropocene era, we have stumbled upon a pattern-seeking machine that smashes through all previous records.

Explore the fascinating differences and similarities between human intuition and computer precision in pattern recognition within data science.

A camera trap for the invisible—a solution to difficult pattern recognition problem in experimental particle physics by Duke University ...