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Intellectual debt: The hidden costs of machine learning

Dynatrace

Technical Debt—Dilbert Comic Strip on 2017-01-03. The sudden lure of artificial intelligence (AI) and machine learning (ML) systems designed for IT brings new urgency to the topic of intellectual debt. We’ll also present the case that efficiency alone isn’t the best approach to judging value. Intellectual debt.

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A Brief Guide of xPU for AI Accelerators

ACM Sigarch

BPU: Brain Processing Unit is the design of the AI chips by Horizon Robotics. They unveiled their first two embedded AI chips fabricated with TSMC 40nm process in December 2017: “Journey 1.0 With its modular architecture, DLA is scalable, highly configurable, and designed to simplify integration and portability.

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Rising Tide Rents and Robber Baron Rents

O'Reilly

Back in 1971, in a talk called “ Designing Organizations for an Information-rich World ,” political scientist Herbert Simon noted that the cost of information is not just money spent to acquire it but the time it takes to consume it. These are all astonishing tools for making our limited capacity for attention more efficient.

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Planning for Responsive Images

CSS - Tricks

The answer, in turn, depends on the answers to these questions: Are the images created dynamically by the user or statically by a design team? That way, the number of obscure edge cases can be reduced and the images can be handled as efficiently as possible. — Harry Roberts (@csswizardry) March 1, 2017. That’s hard to do.

Media 72
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What Are ChatGPT and Its Friends?

O'Reilly

They’ve all had additional specialized training; and they all have a reasonably well-designed user interface. All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. The design of Transformers lends itself to large sets of training data.

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