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Neurala Announces Brain Builder AI for Good Competition for Developers

By Ken Briodagh
August 16, 2018

Following the announcement of its Brain Builder beta program, Neurala, an artificial intelligence company, recently announced its call for submissions for its “AI for Good” competition.

Developers who participate in the “AI for Good” contest will have the chance to win a $1,000 first-place cash prize. The second-place finalist will win an EVGA GeForce GTX 1080 Ti SC2, and the third-place winner will receive a DJI phantom 3. Entries will be judged by a panel of industry experts. Neurala’s own applications and commitment to this theme include its work with Motorola Solutions’ first responder body cams to help find missing children, as well as its partnership with the Lindbergh Foundation to help combat animal poaching in Africa.

Each proposal should feature a detailed explanation of the approach the applicant will take to achieve the desired objective. This may include technological frameworks, development pathways, test dataset, what functions and technologies will be utilized, and how success will be measured. 

“Like any technology, AI is a tool whose applications reflect the intentions of its creator. It is up to us to show the path and prove that doomsday scenario prophets like Elon Musk are wrong,” said Max Versace, co-founder and CEO, Neurala. “AI is creating changes in our lives that were at one time unimaginable. But we believe these changes have the power to benefit humanity, and we want to give the talented developers who will be able to make that happen a leg up.”

 Putting the Brain Builder Beta to Use
“AI for Good” applicants will get expedited free access to Neurala's new Brain Builder tool to begin tagging datasets for their application. Using Brain Builder, developers can cut the time and financial cost of creating datasets for deep neural networks (DNNs) by as much as 40 percent. Early adopters of Brain Builder will also benefit from:

  • Secure, web-based portal: 24/7 access to global data from anywhere
  • Annotation tools: Drastic reduction in annotation time
  • File support for multiple image types: Upload large amounts of data and tag objects and concepts within images from multiple devices
  • Central analytics dashboard: View analytics across projects and datasets
  • Secure platform: Run in the cloud or host on a server behind a firewall
  • Advanced data protection: Use of cloud storage with practically limitless scope in terms of size and recoverability
  • Data export: Export tagged image segmentation and object detection data that can be used to train models in TensorFlow or Caffe
  • In-house support and expertise: Neurala’s team holds more than eight Ph.D.s, has more than 20 years of AI experience, and has received 19 patents

“There is no other solution in the market that provides organizations with a centralized solution for DNN data creation and management that delivers consistent savings,” said Heather Ames Versace, COO, Neurala. “While data tagging services exist, organizations still need a tool to organize, maintain and deliver data for AI applications. Brain Builder fills this gap and streamlines the workflow of data annotation, so organizations will own the data and can choose whether tagging occurs in-house, in a data tagging farm, or in both.”

The Brain Builder beta program is being offered to select clients right now — interested companies and universities can fill out a quick and easy application here. Users who sign up for the initial Brain Builder beta program will have first access to the full suite when it launches later this year. Neurala is also providing the tool for free to anyone in academia.

“AI for Good” applications can be submitted now and will be accepted through September 16, 2018. Click here for more information about Neurala’s “AI for Good” initiative.


Ken Briodagh is a writer and editor with more than a decade of experience under his belt. He is in love with technology and if he had his druthers would beta test everything from shoe phones to flying cars.

Edited by Ken Briodagh
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