2014 Artificial Inteligence Blogging 
TechCrunch LA
APRIL 12, 2018
And as Battery Ventures investor Sanjiv Kalevar noted in a blog post last year , the opportunity for software companies serving blue-collar workers is huge.
Xconomy
DECEMBER 13, 2018
Launched four years ago, the Nanodegree courses allow students worldwide to gain expertise in areas such as data analytics, machine learning, and autonomous flight engineering by completing coursework that can take as little as six months.
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Xconomy
OCTOBER 6, 2016
The startup moved off-campus in 2014, with $11 million in funding from Qualcomm Ventures. stands to gain valuable experience toward the development of autonomous, machine-learning systems and self-driving cars. emerged in the collective glow of the Obama Administration’s brain initiative. Like many startups, Brain Corp.
Xconomy
OCTOBER 9, 2019
That opening to biotech startups in 2014 was controversial at the time. Five years ago, the big tech incubator Y Combinator started to welcome life sciences companies into its sizable startup classes, which had previously nurtured entrepreneurs in information technology almost exclusively.
Xconomy
NOVEMBER 5, 2018
Esperanto Technologies , a startup AI chip developer that has operated mostly below the radar since its founding in 2014, announced this week that it raised $58 million in a Series B fundraising round. The field includes big semiconductor companies like Nvidia and tech giants like Google and Facebook, as well as other startups.
Xconomy
MAY 31, 2016
The name of the fund—which will back startups focused on cloud computing, machine learning, and security, with an emphasis on technology that complements Microsoft’s own products and services—is Microsoft Ventures. That forms one end of the company’s spectrum of startup activities.
Xconomy
JULY 24, 2019
It’s a boon for the South San Francisco startup founded in 2014, but not an unusual haul for competitors in the same field, where the tantalizing promise of a simple test to find cancer sooner, when it is much easier to treat, has emerged from advances in DNA sequencing, sophisticated data crunching, and the understanding of cancer biology.
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