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Python, C, Assembly - 2'500x Faster Cosine Similarity 📐

In this fourth article of the “Less Slow” series, I’m accelerating Unum’s open-source Vector Search primitives used by some great database and cloud providers to replace Meta’s FAISS and scale-up search in their products. This time, our focus is on the most frequent operation for these tasks - computing the the Cosine Similarity/Distance between two vectors. It’s so common, even doubling it’s performance can have a noticeable impact on applications econo...
Xeon Cpus Unum Usearch Unum Uform Jensen Shannon Architectures Software Developer Vector Search

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Sensors | Free Full-Text | Quantization and Deployment of Deep Neural Networks on Microcontrollers

Embedding Artificial Intelligence onto low-power devices is a challenging task that has been partly overcome with recent advances in machine learning and hardware design. Presently, deep neural networks can be deployed on embedded targets to perform different tasks such as speech recognition, object detection or Human Activity Recognition. However, there is still room for optimization of deep neural networks onto embedded devices. These optimizations mainly address power consumption, memory and ...
Ambiq Apollo Quantization Of Deep Neural Networks Deployment Of Quantized Neural Network Neural Network Neural Networks Human Activity Recognition
Source: mdpi.com

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