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Brendan@Intel.com

Brendan Gregg

I'm thrilled to be joining Intel to work on the performance of everything, apps to metal, with a focus on cloud computing. My dream is to turn computer performance analysis into a science, one where we can completely understand the performance of everything: of applications, libraries, kernels, hypervisors, firmware, and hardware.

Wireless 145
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Brendan@Intel.com

Brendan Gregg

I'm thrilled to be joining Intel to work on the performance of everything, apps to metal, with a focus on cloud computing. My dream is to turn computer performance analysis into a science, one where we can completely understand the performance of everything: of applications, libraries, kernels, hypervisors, firmware, and hardware.

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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. With higher expectations, comes greater scrutiny in the way your content is being delivered.

Testing 40
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The Future in Visual Computing: Research Challenges

ACM Sigarch

Such innovation in AI algorithms and approaches results in an increase in model size, exponential growth in the compute needs, caching of temporal states, and multiple models to run simultaneously. For many IoT applications involving wireless video sensors (e.g. These syntax elements indicate spatial or temporal saliency in the video.

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Sprint's Marathon

The Agile Manager

While a post-merger AT&T/T-Mobile and Verizon Wireless would have most of the customers, there are no switching penalties for long-term handset contract customers. Data hungry devices should perform fast and reliably on WiMAX. Sprint is a distant third in subscribers today, but this is a very dynamic market.

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Generative AI in the Enterprise

O'Reilly

We can’t tally and tabulate all the responses, but it’s clear that there’s no shortage of creativity and innovation. Now we expect wireless everywhere, and even that’s not correct. The performance of any AI model degrades over time, and as far as we know, large language models are no exception.