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SAN FRANCISCO, Sept. 28, 2017 -- useAIble, a Utah-based machine learning startup, has won The AIconics Award for Best Innovation in Deep Learning.
The semi-annual award was presented Sept. 27 as part of The AI Summit in San Francisco. Business leaders, market innovators and engineers in cutting-edge machine learning technologies were in attendance.
The AIconics are the world’s only independently judged awards celebrating Artificial Intelligence for Business. The Deep Learning award recognized “exponential development of applications for real world businesses in analyzing data across image, text, and sound.”
useAIble competed against more than 300 entries from across the globe, and was one of only five finalists.
“We are honored to be recognized by the expert panel,” said useAIble CEO and founder, Rix Ryskamp. “We’re excited that our focus on unsupervised learning and complex optimization problems is gaining traction and visibility in the industry. Since my company’s passion is for applied technology — technology at work in the business world — this acknowledgement of innovation for business is especially meaningful.”
useAIble’s RySkamp Learning Machine (RLM) does not have a “black box” problem like traditional machine learning approaches, Ryskamp explained. The Total RecallTM capability stores all results and key learning events from the RLM, providing full transparency.
“The Learning Visualizer allows users to review and refer to key learning events and understand exactly why decisions were made,” Ryskamp added. “In addition, useAIble is easy to use. A person with a basic computer science degree can configure and deploy our system quickly.”
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About useAIble
useAIble is a disruptive technology company that has reimagined machine learning. Its patent-pending Ryskamp Learning Machine is purpose-built for the next frontier of machine learning — unsupervised learning. Founded in 2012, the company is dedicated to making artificial intelligence useable for any business. Learn more at www.useaible.com.
Press Contact Information:
Madelyn Gengelbach
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