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Fortifying Networks: Unlocking the Power of ML, AI, and DL for Anomaly Detection

DZone

Artificial Intelligence: Definition and Practical Applications Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence. The uses of artificial intelligence are vast and continue to expand across various industries.

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Leveraging ML-Based Anomaly Detection for 4G Networks Optimization

DZone

Artificial intelligence and machine learning already have some impressive use cases for industries like retail, banking, or transportation. While the technology is far from perfect, the advancements in ML allow other industries to benefit as well.

Network 130
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AI Has an Uber Problem

O'Reilly

In a well-functioning market, many startups would have explored a technology innovation like on-demand transportation over a much longer period. In the case of artificial intelligence, training large models is indeed expensive, requiring large capital investments. But those investments demand commensurately large returns.

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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

In the case of artificial intelligence (AI) and machine learning (ML), this is different. Many are uncomfortable with the idea that an artificial intelligence exists alongside human intelligence. Artificial intelligence helps to satisfy the customer. That is understandable.

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'Paris s'éveille'! Introducing the AWS EU (Paris) Region

All Things Distributed

In France, you can find one of the most vibrant startup ecosystems in the world, a strong research community, excellent energy, telecom, and transportation infrastructure, a very strong agriculture and food industry, and some of the most influential luxury brands in the world.

AWS 115
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Tokenized Roadways and Micropayments: Bitcoin and the Future of Autonomous Vehicles

Tech News Gather

In today’s rapidly evolving technological landscape, the convergence of blockchain and autonomous vehicles promises to reshape the way we perceive transportation. Among these, the automotive sector stands out as a particularly promising field where blockchain can redefine the future of transportation.

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Communal Computing

O'Reilly

Even public transportation ticketing machines are communal devices. All of these have built experience models that need a specific, personal context and rarely consider everyone who could have access to them.

IoT 92