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30 Machine Intelligence Startups to Watch in Israel

VC Cafe

Artificial Intelligence is an important, foundational technology that gets more important every year and will be used to solve more and more problems going forward. These events mean that technology is advancing fast enough to make better decisions than humans in order to accomplish a given task. Chris Rust, Clear Ventures).

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Essential Startup Funding Tips from 8 Seasoned Investors

mashable.com

The web and technology bubble has a lot in common with the rest of the business world in that there are essentially two disparate groups — the haves and the have nots. The group seeks out technologies that are complementary to the company’s core operations, including applications, software and infrastructure startups.

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How to Scale Support of Portfolio Companies

David Teten

For each of these, there is a human element (non-scaleable) and the possibility of a tech layer (which any one VC will only have implemented to varying extents). I’m very interested in additional ways to use technology to extend each of these! – A tool to automatically update all databases (Crunchbase, CB Insights, etc.)

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

VC Cafe

Affectiva ’s database of facial emotional responses is in this category, as are Pallas Ludens (end to end data annotation service), and opensensors.io (adding value to public sources of sensor data). Graphcore (in stealth, see this video at 28:58) calls them Intelligent Processor Units. What might these technologies do?

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Which language should my startup use?

www.reincubate.com

Share this: net c# development django java language php software Were often asked by entrepreneurs which language their startups should adopt when developing their technology. Technology enthusiasts tend to get tangled up in enthusiasm for their chosen platforms, so wed like to provide an objective summary. PHP is insecure?

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The Future of Startups 2013-2017

Scalable Startup

These are good things to think about and companies to study as we move back from consumer to Enterprise in the tech cycle. Security, Cloud, NoSQL databases, etc. And so we think that the model flipped to a model where, today, where the most interesting and advanced new technology now comes out for the consumer first.