Tag: innovation

Collaboration vs Consolidation: Navigating the Evolving Autonomous Driving Industry

The evolution of the Autonomous Driving (AD) industry has been rapid and dynamic, As the industry has grown, we have seen a wide variety of approaches to the development of Autonomous Vehicles (AVs). Some companies have focused on developing specific subunits, such as perception or planning, while others have attempted to develop a full autonomous…
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Navigating the Road to Success: How Abstracting Maps for Self-Driving Cars Ensures Safe and Efficient Operation

Self-driving cars rely heavily on maps to navigate and make decisions while on the road. These maps must be accurate, detailed, and up-to-date in order for the car to operate safely and efficiently. However, as self-driving cars become more prevalent, it has become clear that the way maps are created and used needs to change.…
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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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Roadmap Compression via Streamlining MLOps Infrastructure and its Impacts on ADAS programs

Advanced Driver Assistance Systems (ADAS) are becoming increasingly important in the automotive industry as they offer a wide range of features that enhance the safety and comfort of the driving experience. However, the development and deployment of ADAS systems can be a complex and time-consuming process. Traditional hand-coded algorithms and feature engineering, while they have…
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Market size of ADAS development tools. Bottoms up and top down calculations

ADAS: 20.73 billion in 2021 to 74.57 billion by 2030 with a CAGR of 14.2% AI: 119.78 billion in 2022 to $ 1.6 trillion by 2030 with a registered CAGR of 38.1% AI within ADAS: $6 billion in 2022 to $600 billion by 2032, at a CAGR of 55% The market size of Advanced Driver Assistance…
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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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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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