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The Recommendation System at Lyft

Lyft Engineering

This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. Introduction: Scope of the Recommendation System The recommendation system covers user experiences throughout the ride journey.

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AI in Vehicle-to-Everything(v2x)

RandomTrees

In a world that is changing fast, where technology is now the order of the day, transportation as an industry is undergoing a radical change. Understanding V2X Communication: Intelligent transport systems depend on V2X communication as the basis that enables interaction between cars and their environment.

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Approaching Predictive Maintenance in the age of AI

RandomTrees

Consequently, many industries, including manufacturing, energy, transportation, and healthcare, are adopting predictive maintenance as their preferred strategy. AI algorithms analyze massive sensor-collected data from machines containing temperature, vibration, and pressure, among other operational parameters.

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A RoCE network for distributed AI training at scale

Engineering at Meta

We opted for RDMA Over Converged Ethernet version 2 (RoCEv2) as the inter-node communication transport for the majority of our AI capacity. This backend fabric utilizes the RoCEv2 protocol, which encapsulates the RDMA service in UDP packets for transport over the network. DCQCN has been the gold standard for storage-focused networks.

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How is AI Transforming the Automotive Industry?

Edureka

Nevertheless, it offers unimaginable opportunities for increased innovation and more secure and smart transportation. AI not only become a convenience, but it also assists in ensuring safe and efficient transportation of people. Smart Cities – AI contributes to smarter cars and transportation in smart cities.

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GenAI in Automotive: From R&D to On-Road Implementation

RandomTrees

Advanced AI algorithms combined with big data analytics have revolutionized the way researchers model complex scenarios and optimize vehicle performance. By using machine learning algorithms, automotive engineers can analyze massive datasets generated from vehicle sensors, test fleets, and simulated environments.

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Top 10+ IoT Research Topics for 2024 [With Source Code]

Knowledge Hut

IoT: Overview IoT has numerous applications in various sectors such as healthcare, agriculture, transportation, manufacturing, and smart cities. Some of the popular smart city projects include smart transportation, smart energy, and smart waste management. If you want to know more about IoT, check out online IoT training.

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