Tag: software

Javascript, Caching to Optimize Network Traffic

Browsers use caching to temporarily store resources locally on the device, such as HTML, CSS, and JavaScript files, images, and videos. This allows the browser to quickly access the resources without having to make additional requests to the server. One way browsers can enable device-side caching is through the use of local storage. Local storage…
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Training PackNet-SFM with RGB + PointCloud Data

Fusing time synchronized RGB camera images with point cloud data is a powerful approach for training a PackNet-SFM (Structure from Motion) model in PyTorch. This technique combines the benefits of both RGB images and point cloud data to improve the accuracy and robustness of the SFM model. In this article, we will discuss the various…
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WebGPU and Federated Learning with FedML, a Killer Combo

WebGPU is a new technology that allows developers to take advantage of the power of the GPU (graphics processing unit) in modern browsers. It allows for faster and more efficient processing of complex tasks, including machine learning algorithms. One of the key benefits of WebGPU is its ability to support federated learning. Federated learning is…
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Data backhauling tips and techniques to save on bandwidth & latency

Data backhauling refers to the process of transferring data from one location to another, typically from a remote or geographically dispersed location to a central location or “backhaul.” This process is often used in industries such as transportation, where data from vehicles or other mobile assets is collected and sent back to a central location…
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Training a Model in MLFlow from CVAT label data

CVAT (Computer Vision Annotation Tool) is an open source tool developed by Intel that allows users to label and annotate images and video data for training machine learning models. MLFlow is an open source platform for managing the end-to-end machine learning lifecycle. It provides tools for tracking experiment runs, organizing code, and reproducing runs, among…
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Dimensionality reduction and how it helps reduce the search space by leveraging known information

Removing dimensions or making invariant features is a technique used to reduce the search space in a problem by eliminating certain variables or making them irrelevant. This can be especially useful in LiDAR slam, which has a 6Dof search space (x, y, z, roll, pitch, yaw). By reducing the dimensions, the number of permutations in…
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Data balancing to remove data bias, do a deep dive on different approaches

Data balancing is the process of ensuring that a machine learning dataset is representative of the real-world population from which it is drawn. This is important because if a dataset is biased, then the machine learning model that is trained on that dataset will also be biased. Bias in machine learning models can lead to…
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Techniques to Boost True Positive Rates using Independent Combinatorics

True positive rates, or the proportion of positive cases that are correctly identified, are an important consideration in many areas. One way to boost true positive rates is to utilize independent combinatorics, a set of techniques that involve combining multiple independent pieces of information or evidence to make a decision. Here are some specific techniques…
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Loose Coupling vs Tight Coupling; Best of Both Worlds

Loose coupling and tight coupling refer to the degree of interdependence between different components in a system. In software development, loose coupling refers to the design of components that can operate independently of one another and do not rely heavily on the internal details of other components. Tight coupling, on the other hand, refers to…
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