Remove Infrastructure Remove Network Remove Technology Remove Wireless
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Fallacy #5: Topology doesn't change

Particular Software

I once had a client who started out with a very noncomplex server infrastructure. In an era before virtualized infrastructure made allocating additional server resources much easier, Public102 became somewhat of a "junk drawer" server. Unfortunately, the network operations had a cruel surprise for us. 100 and X.X.X.101

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A 5G future

O'Reilly

For the past year, 5G cell technology has generated a lot of excitement–and a lot of hype. The most obvious change 5G might bring about isn’t to cell phones but to local networks, whether at home or in the office. High-speed networks through 5G may represent the next generation of cord cutting. I don’t, do you?

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The Paradox of Connection

Edge Perspectives

We're seeing the exponential growth of a broad range of digital technologies that are connecting us globally at a speed and scale that would have been unimaginable a few decades ago. The foundation is a digital infrastructure that is exponentially improving in terms of processing power, storage capability and transmission speed.

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Have You Tested Your App Performance & Capacity Recently?

Apica

The spread of where consumers want to consume content, at home, at the office, at the gym, on a plane, at any time where there is connectivity, puts significant pressure on the network and performance monitoring teams for streaming brands. Load and stress-testing benchmark goals for the backend technological components.

Testing 40
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Generative AI in the Enterprise

O'Reilly

Generative AI has been the biggest technology story of 2023. Executive Summary We’ve never seen a technology adopted as fast as generative AI—it’s hard to believe that ChatGPT is barely a year old. When 26% of a survey’s respondents have been working with a technology for under a year, that’s an important sign of momentum.

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The Future in Visual Computing: Research Challenges

ACM Sigarch

Orchestrate the processing flow across an end-to-end infrastructure. One such example is activity recognition in motion video (such as LRCN , Convnets ) which may entail running combinations of both convolutional as well as recurrent neural networks simultaneously. For many IoT applications involving wireless video sensors (e.g.