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Predictive Maintenance in Automotive Manufacturing
Our initial article on predictive maintenance covered the definition of such a system, its construction, and the key implementation challenges. In this part, we'll delve into how PdM technology is tr...
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Generative AI for Developers – Our Comparison
So, it begins… Artificial intelligence comes into play for all of us. It can propose a menu for a party, plan a trip around Italy, draw a poster for a (non-existing) movie, generate a meme, compos...
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How to Use Associative Knowledge Graphs to Build Efficient Knowledge Models
In this article, I will present how associative data structures such as ASA-Graphs, Multi-Associative Graph Data Structures, or Associative Neural Graphs can be used to build efficient knowledge mod...
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Cloud Solutions and AI Software to Serve the Transport in Cities of the Future
Cities of the future are spaces that are comfortable to live in, eco-friendly, safe, and intelligently managed. It's hard to imagine such a futuristic scenario without the use of advanced technology...
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Predictive Transport Model and Automotive. How Can Smart Cities Use Data from Connected Vehicles?
There are many indications that the future lies in technology. Specifically, it belongs to connected and autonomous vehicles(CAVs), which, combined with 5G, AI, and machine learning, will form the b...
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How AI is Transforming Automotive and Car Insurance
The car insurance industry is experiencing a real revolution today. Insurers are more and more carefully targeting their offers using AI and machine learning features. Such innovations significantly...
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Mood Focused Car Enhancement – Driving Experience Coupled with Technological Sense
Driving a car must evoke certain emotions and associations. Without them, a vehicle loses its soul, becomes a machine like any other and it is extremely hard for it to win popularity in a market fil...
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Parking Is Plain Sailing… Provided That Your Car Is Equipped with Automated Valet Parking
Among the many vehicle functions that intelligent software increasingly performs for us, parking is certainly the one that the majority of us would be most willing to leave to algorithms. While a ri...
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Not Only the Self-driving Vehicles: 9 Use Cases of AI in Transportation
Accidents, traffic congestion, lack of parking lots and poor state of roads. These are the 4 Horsemen of the Road Apocalypse that on occasion haunt cities around the globe. Have they come to settle...
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How Porsche Developed a Digital Twin to Win the Race for the Virtual Car Concept
NASA used a precursor to these technologies to bring the Apollo 13 astronauts back to Earth. Lockheed Martin claims these types of solutions are one of six game-changing technologies in the defense...
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How to Simplify the Process of Building Production-ready AI Services and Reduce the Time for Resource Management in the Automotive Industry?
While the automotive industry is rapidly changing by adopting a software-first strategy, like in other sectors, automotive enterprises struggle with productionizing AI and ML R&D projects. Machi...
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How to Automate Operationalization of Machine Learning Apps – Running First Project Using Metaflow
In the second article of the series, we guide you on how to run a simple project in an AWS environment using Metaflow. So, let’s get started. Need an introduction to Metaflow? Here is our a...
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Machine Learning at the Edge – Federated Learning in the Automotive Industry
Machine Learning combined with edge computing gains a lot of interest in industries leveraging AI at scale - healthcare, automotive, or insurance. The proliferation of use cases such as autonomous d...
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8 Examples of How AI Drives the Automotive Industry
Just a few years ago, artificial intelligence stirred our imagination via the voice of Arnold Schwarzenegger from "Terminator" or agent Smith from "The Matrix". It wasn't long before the rebellious...
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How to Automate Operationalization of Machine Learning Apps – an Introduction to Metaflow
In this article, we briefly highlight the features of Metaflow, a tool designed to help data scientists operationalize machine learning applications. Introduction to machine learning operat...
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