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NDA Stealth Mode and Sharing Your Startup Concept

SoCal CTO

What is Stealth? What's also interesting in Niel's piece is that he defines Stealth Mode not as not having conversations, but rather he says it's not make public pronouncements. The reality is that Stealth is defined differently in each case. I may decide to hold back some detailed specifics around algorithms.

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NDA Stealth Mode and Sharing Your Startup Concept

SoCal CTO

What is Stealth? What's also interesting in Niel's piece is that he defines Stealth Mode not as not having conversations, but rather he says it's not make public pronouncements. The reality is that Stealth is defined differently in each case. I may decide to hold back some detailed specifics around algorithms.

NDA 198
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Artificial Intelligence and Machine Learning– Explained

Steve Blank

Humans combine data with algorithms (see here for a list) to train a model using that data. Machine learning algorithms – computer programs that adjust themselves to perform better as they are exposed to more data. Department of Defense has created a dedicated organization to ensure its deployment. But What Is It?

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Who’s watching the algorithms? 3 Israeli startups predicting performance of AI models

VC Cafe

Data scientist know that the accuracy of the models to make predictions or recommendations, has to do with data quality/annotation and training of the algorithms, but most simply trust the data and thus create a blind spot. As more companies embrace AI for their needs, what happens when the algorithms start slipping?

Algorithm 166
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30 Machine Intelligence Startups to Watch in Israel

VC Cafe

The company emerged from stealth in November 2016 and announced a $100 million investment round from Sir Ronald Cohen, Lloyd Dorfman, OCAPAC Holding Company, and Horizons Ventures. It uses machine learning and predictive algorithms to analyze over 250 terabytes of data daily. The company has no public URL yet.

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The Quantum Technology Ecosystem – Explained

Steve Blank

But quantum computers can theoretically solve some complex algorithms/ problems exponentially faster than a classical computer. These are classical computers that you can buy today that simulate quantum algorithms. They make it easy to test and debug a quantum algorithm that someday may be able to run on a Universal Quantum Computer.

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Where are the opportunities for machine learning startups? [guest post]

VC Cafe

So-called after the California Gold Rush where the purveyors of picks and shovels made a killing (whereas the outcome for prospectors was mixed), the picks and shovels of machine intelligence are hardware, data feeds, and (arguably) the algorithms themselves. Of course there are exceptions?—?last I wonder how they intend to commercialise it?