Remove Algorithm Remove IP Remove Networking Remove Vertical
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Looking Back On Tech, Startups, And VC In 2018

Haystack

companies, more sensitivity around technology IP and security. The trend now seems to be bending toward incentivizing network participation , where those who see the opportunity will want to not just invest in a new network, but put their time and resources into participating by running nodes themselves. 3/ Crypto Hibernation.

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Spectacles and $SNAP’s $20B Valuation

Austin Startup

This begs the question: how much time do users spend in Snapchat today compared to other social networks, and how will that number change over time? The smartphone is for everyone, we don’t have to think the iPhone is about a certain demographic, or country or vertical market: it’s for everyone. People still have to eat, work, etc.

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Startups in stealth mode need one piece of advice - Discussion

news.ycombinator.com

We already have some competitors in the vertical and while there is no point in trying to hide the actual idea, there are differences in the way we implement stuff that can get us an advantage over the competition. >> social network/web analysis/etc. There are some other serious reasons why we dont want to go public right now.

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30 Machine Intelligence Startups to Watch in Israel

VC Cafe

Since AI and ML startups cut across verticals (analytics, fintech, health, adtech, security, etc), it’s easier to group them under the “machine intelligence” umbrella, coined by Shivon Zillis , a partner at Bloomberg Beta. It uses machine learning and predictive algorithms to analyze over 250 terabytes of data daily.

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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. Neural networks make up the backbone of deep learning. But What Is It?

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The Definitive Guide To (8) Competitive Intelligence Data Sources!

Occam's Razor

3: ISP (Network) Data. and Baidu, are logged by those search engines, along with basic connectivity information such as IP address and browser version. In all three cases, you can compare your performance to specific vertical markets (for example, retail, apparel, software, and so on), which is much more meaningful.

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CEO Friday: Why we don’t hire.NET programmers

blog.expensify.com

They write everything from assembly to jQuery, on PCs to mobile phones, doing hard core computer graphics to high level social networking. Big things, like obscuring the networking stack under so many countless layers of abstraction that it’s virtually impossible to even imagine what bytes are actually going over the wire.

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