January 17, 2017

Emergent // Future: Train Your Own Self-Driving Car, and the AI 100 List

Emergent Future 37: Train Your Own Self-Driving Car

Issue 37
This week we look at the
OpenAI + DeepDrive project that helps developers train self-driving car AI's using Grand Theft Auto V. Plus, CB Insights releases their AI 100 landscape

Last week: The year in artificial intelligence, what 2017 holds, and the shape of things to come.

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Train Your Own Self-Driving Car

It’s now possible to train self-driving cars using Grand Theft Auto V thanks to the DeepDrive Project.

The work is being integrated and open sourced with OpenAI Universe, cutting the setup time to just 20-minutes. By combining a highly realistic driving simulation, DeepDrive gives developers the opportunity to build better self-driving cars.

The post goes on to say that you need to purchase a copy of GTA V in order for your Universe agent to be able to drive around the streets of the virtual world. The release includes an agent trained on 21-hours and about 600,000 images of AI driving.

One of the biggest advantages of training off of a virtual environment is that the labeled objects, whether traffic signs or cyclists, can easily be analyzed.

The AI 100

CB Insights released their 2017 ranking of the 100 most promising private artificial intelligence companies globally.

Algorithmia was selected as one of the prestigious companies breaking ground on artificial intelligence algorithms and technology.

Meanwhile, LinkedIn co-founder Reid Hoffman and Omidyar Network have formed a $27 million fund to support research into the social impacts of artificial intelligence.

The aim is to promote artificial intelligence research in the public interest.

What We're Reading

  • The Voice. Vocal computing has a shot at being the next platform — or more — if the big guys don’t screw it up (500ish Words)
  • The Anatomy of Deep Learning Frameworks. Deep Learning, whether you like it or not is here to stay, and with any tech gold-rush comes a plethora of options that can seem daunting to newcomers. (Medium)
  • Why Go Long on Artificial Intelligence? For those out there who know me, it’ll be no surprise to learn that I’m going long on the transformative power of artificial intelligence. (Nathan Benaich)
  • Politicians Cannot Bring Back Old-Fashioned Factory Jobs. If manufacturing cannot be counted on to bring back good jobs for semi-skilled workers, its history nonetheless suggests a route to providing good work in other sectors. (The Economist)
  • How Deep Learning Is Expected to Develop in 2017. We asked some of our influential speakers, who will be presenting at our deep learning summits this year, for their predictions for deep learning in 2017. (Re•Work)

Things To Try At Home

Emergent // Future is a weekly, hand-curated dispatch exploring technology through the lens of artificial intelligence, data science, and the shape of things to come. Subscribe here.

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Matt Kiser

Matt Kiser

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