Remove Algorithm Remove Developer Remove IP Remove Stealth
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NDA Stealth Mode and Sharing Your Startup Concept

SoCal CTO

One of the readers asked my opinion around sharing your startup concept: My first question has always been - how do you protect your idea while shopping around for feedback, partners, developers, etc.? What is Stealth? The reality is that Stealth is defined differently in each case. Lots of thoughts here.

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NDA Stealth Mode and Sharing Your Startup Concept

SoCal CTO

One of the readers asked my opinion around sharing your startup concept: My first question has always been - how do you protect your idea while shopping around for feedback, partners, developers, etc.? What is Stealth? The reality is that Stealth is defined differently in each case. Lots of thoughts here.

NDA 198
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Startups in stealth mode need one piece of advice - Discussion

news.ycombinator.com

Hacker News new | comments | ask | jobs | submit login Startups in stealth mode need one piece of advice. I work for a stealth startup. The idea is just a very small part of the reason why we are in stealth. If we are not in stealth mode, it will just draw unwanted attention. niyazpk 215 days ago | link. Shocking, I know.

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Use cases for Generative AI in gaming

VC Cafe

Generative AI is already being used in developer workflows. At GDC, the Games Developer Conference, in San Francisco next week, generative AI is sure to be one of the hot topics. It would be hard to algorithmically generate the gameplay, the storyline, the cohesiveness of it all as one cool story/experience. Will it work?

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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. Logz.io (2014) – Logz.io

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Artificial Intelligence and Machine Learning– Explained

Steve Blank

It uses new words to define programming steps, job descriptions, development tools, etc. 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.