Five Hot AI Startups Step into Spotlight at GTC Europe Inception Awards

Five hot #AI startups step into the spotlight at the #GTC17EU Inception Awards:

  • Then we gave one of them — Gamaya, a 20-person startup harnessing deep learning to help farms improve their productivity and sustainability — a new DGX Station in front of a room packed with more than 160 investors, entrepreneurs and industry observers.
  • The event’s contenders were selected from among the 700 European startups participating in our Inception program, which accelerates the development of startups involved in AI and deep learning.
  • After looking at an initial round of 25 startups, our judges chose companies we believe to be the five hottest in Europe to tell their stories.
  • Besides our winner Gamaya, the startups included presentations from: – – The Inception Awards continue the series of events we’ve held in Silicon Valley and China in conjunction with our GPU Technology Conference world tour.
  • Our Inception virtual accelerator program supports more than 1,900 AI startups with GPUs, deep learning expertise and other resources to help them be successful.

We brought five of the hottest startups in Europe and put them in front of a panel of some of tech’s savviest players at GTC Europe in Munich Tuesday.
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arXiv.org > cs > arXiv:1608.05137

IM2CAD: Reconstruct a scene with known CAD models using deep learning and scene optimization

  • Abstract: Given a single photo of a room and a large database of furniture CAD models, our goal is to reconstruct a scene that is as similar as possible to the scene depicted in the photograph, and composed of objects drawn from the database.
  • By operating jointly on the full scene at once, we account for inter-object occlusions.
  • Our approach iteratively optimizes the placement and scale of objects in the room to best match scene renderings to the input photo, used image comparison metrics trained using deep convolutional neural nets.
  • We present a completely automatic system to address this IM2CAD problem that produces high quality results on challenging imagery from real estate web sites.
  • Computer Vision and Pattern Recognition (cs.CV)

Read the full article, click here.


@brandondamos: “IM2CAD: Reconstruct a scene with known CAD models using deep learning and scene optimization”



arXiv.org > cs > arXiv:1608.05137

The White House requested input on artificial intelligence, and IBM’s response is a great AI 101

Did you know? The White House requested input on #AI. See @IBM's response:  via @TechCrunch

  • The White House requested input on artificial intelligence, and IBM’s response is a great AI 101
  • Posted 19 hours ago by Devin Coldewey , Contributor
  • Deep learning software knows that a rose is a rose is a rosa rubiginosa Pat launches private beta to help AI understand what you say Google researchers teach AIs to see the important parts of images — and tell you about them
  • In-car cameras let autonomous vehicles track passengers as well as pedestrians
  • First private company to got to Moon | Crunch Report

Read the full article, click here.


@IBMWatson: “Did you know? The White House requested input on #AI. See @IBM’s response: via @TechCrunch”


The field of artificial intelligence is so huge, and the potential applications so numerous, that it would be folly to try to explain it all in one — no,..


The White House requested input on artificial intelligence, and IBM’s response is a great AI 101