AI on the farm: The startup helping farmers slash losses and improve cows' health
"We're addressing the lameness issue, which is a big issue at lots and lots of dairies. They reckon 30% of all cows don't walk as well as they should do."
Through an analysis of computer-vision research papers and citing patents, we found that most of these documents enable the targeting of human bodies and body parts.
When memory was measured in kilobytes: The art of efficient vision
An Efficient Chain-Linking Algorithm embodies how creativity thrived in the early days of computer vision when memory constraints innovatively shaped problem-solving and advancements.
LightCap's Success on Nocaps: Limitations and Opportunities for Growth | HackerNoon
The proposed framework exhibits super-balanced performance and efficiency, but has limitations such as the computational cost of the visual backbone and restricted training data.
Vision Transformers (ViT) Explained: Are They Better Than CNNs?
Transformers are the leading NLP models due to their self-attention mechanism, which improves computational efficiency, scalability, and performance on various linguistic tasks.
Mobileye is discontinuing its LiDAR research, shifting focus to computer vision and imaging radar development, reflecting evolving priorities in autonomous vehicle technology.