Curation Networking Open Source Technical Review 
VC Cafe
MARCH 1, 2024
In addition, founders thinking about starting a company can be overwhelmed by choice, as there are so many problems to tackle with technology, but it could be comforting to know that investors are interested in those areas in the first place.
Both Sides of the Table
DECEMBER 5, 2010
Social Networks: Past, Present & Future. I recently spoke at Caltech at the Caltech / MIT Enterprise Forum on “the future of social networking,&# the 30-minute video is here and the PowerPoint presentation is here on DocStoc ). asymmetry, real-time, curated RSS / link-sharing]. Social Networking in Web 1.0.
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Startup Lessons Learned
JULY 2, 2020
When he realized that the technology the company had built could potentially be used to test for COVID-19, he jumped in feet first. At the beginning of this year, Fred Turner was building a biotech company in the Bay Area to work on sepsis detection. In one weekend, his assumption was proved correct. I am Eric Ries.
YoungUpstarts
AUGUST 20, 2017
Contributing to these trends are less expensive and more powerful hardware, and open source end-to-end connected data platforms that maximize the value of data-in-motion and securely store, manage and perform complex processing of data-at-rest. Deep learning. Human-enhanced AI.
Feld Thoughts
JUNE 22, 2012
I’m a huge fan of William and his writing as you can see from my review of his book Avogadro Corp. There seem to be two schools of thought on how to predict the future of information technology: looking at software or looking at hardware. A big technical challenge we studied was piping streaming video over networks.
mashable.com
OCTOBER 27, 2010
This post originally appeared on the American Express OPEN Forum , where Mashable regularly contributes articles about leveraging social media and technology in small business. There are also tons of tools for creating your own microsites, Facebook apps, social networks, blogs and more.
VC Cafe
DECEMBER 1, 2015
It’s striking that algorithm developments for machine intelligence have been overwhelmingly open source. What might these technologies do? It needs to help us to discover and curate content that is relevant to us from all the noise. Of course there are exceptions?—?last Well, to take the legal profession as an example.
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