ffVC and NYU are mixing researchers with investors in the name of machine intelligence


The timing was perfect. Just as startups ended up settling into NYU and ffVC’s new brains-fulfill-dollars accelerator, “AI Nexus Lab,” Uber acquired Geometric Intelligence. In a stroke of luck, the startup that would grow to be Uber’s AI lab transpired to have been lifted by NYU Tandon’s Information Foreseeable future Labs. Uber’s curiosity in Geometric served solidify New York’s place in the minds of machine intelligence wonks and introduced investor consideration to other startups affiliated with the university.

Three months later, the inaugural cohort of the AI Nexus Lab is taking the phase at NYU’s Skirball Middle for the Executing Arts to present demos and development updates. Addressing finance, healthcare, robotics, consumer company and omnichannel retail intelligence, the 5 startups incorporate:

  • Cambrian Intelligence – A customizable operating procedure for robots
  • Behold.ai – Employing deep studying to reduce medical mistake
  • Alpha Vertex – Analytical equipment for finance
  • Klustera – Infusing e-commerce intelligence with brick and mortar insights
  • HelloVERA – AI-powered consumer help
  1. IMG_3596

    Yann LeCun of Facebook’s Good lab speaking to the crowd

  2. JohnFLSummit 2

    John Frankel speaking about ffVC’s curiosity in AI financial investment

  3. IMG_3606

    Alpha Vertex, a single of the 5 accelerator startups, presenting a demo

All 3 founders I spoke with cited the program’s tiny size as its greatest asset. With mentors like USV’s Fred Wilson, FirstMark Capital’s Matt Turck and Geometric Intelligence’s Gary Marcus, obtain is the crucial differentiator between an assembly line and a true accelerator.

Miika Pera of Cambrian Intelligence specially noted AI Nexus Lab’s support with finding pilot clients. In the meantime James Admirer and LiangLiang Cao of HelloVERA pointed to presentation steerage. And though it wasn’t explicitly pointed out, I’m positive nobody was complaining about the $100,000 that ffVC invested into each startup.

Supporting founders commercialization efforts tends to be particularly crucial in the machine intelligence area. It is fairly straightforward to toss free compute and tiny quantities of funds at promising organizations, but hugely complex founders most frequently need support tailoring their early-phase startups for merchandise sector in shape.

NYU and ffVC plan to continue on their partnership for a 2nd cohort of AI startups. The deadline for the following batch will be Might third, 2017 and that software is anticipated to start out July tenth.

Showcased Graphic: frimages/Getty Visuals



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