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Can data fix healthcare?

TechCrunch

Can data fix healthcare? Not alone, but you might be able to make a lot of progress with the right data in the right hands. Myerson is best known for his time one-rung below the top of the Microsoft org chart, where he ran things you might have heard of, like Windows. And then how big they can grow it.

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Radar trends to watch: November 2021

O'Reilly Media - Ideas

AI is reinventing computers : AI is driving new kinds of CPUs, new “out of the box” form factors (doorbells, appliances), decision-making rather than traditional computation. Weird creatures: Unimals, or universal animals, are robots that can use AI to evolve their body shapes so they can solve problems more efficiently.

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More Than Just AI: How To Successfully Develop AI Products

Mentormate

But if you venture into the creation of an AI product or service, it soon becomes evident that hiring AI engineers is only one piece of the puzzle. The Human Element in Action Imagine you access an AI-based application that lets you enter different criteria and search for vacation offers. It can act as a counselor.

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Radar trends to watch: November 2020

O'Reilly Media - Ideas

That will certainly play out over years rather than months, but it’s significance is less about this particular case than the idea that legal and regulatory systems will play a large role in the evolution of technology in the US. Less than one shot learning ”: when the number of classes is larger than the number of sample. Perhaps not.

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7 famous analytics and AI disasters

CIO

Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives. Here are a handful of high-profile analytics and AI blunders from the past decade to illustrate what can go wrong.

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Power, Harms, and Data

O'Reilly Media - Ideas

PULSE could be used for applications like upsampling video for 8K ultra high-definition, but I’m less interested in the algorithm and its applications than in the discussion about ethics that it provoked. Nor do I believe there’s some kind of racist demon lurking in the mathematics implemented by neural networks.

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2020: The Year Bee-hind Us

Honeycomb

We’ve witnessed or directly experienced racist injustice, social unrest, and state violence. In March I wrote the following: Observability is a paradigm on which we can build a safe, healthy, sustainable future for the tech industry. That’s not something I can do alone; I rely on everyone at Honeycomb to help me do that.