Vicarious (company)

The company was founded in 2010 by D. Scott Phoenix and Dr. Dileep George. Before co-founding Vicarious, Phoenix was Entrepreneur in Residence at Founders Fund and CEO of Frogmetrics, a touchscreen analytics company he co-founded through the Y Combinator incubator program. Previously, Dr. George was Chief Technology Officer at Numenta,[1] a company he co-founded with Jeff Hawkins and Donna Dubinsky (PALM, Handspring) while completing his PhD at Stanford University.[2]

The company launched in February 2011 with funding from Founders Fund, Dustin Moskovitz, Adam D’Angelo (former Facebook CTO and co-founder of Quora), Felicis Ventures, and Palantir co-founder Joe Lonsdale. In August 2012, in its Series A round of funding, it raised an additional $15 million. The round was led by Good Ventures; Founders Fund, Open Field Capital and Zarco Investment Group also participated.[2]

The company received $40 million in its Series B round of funding. The round was led by such notables as Mark Zuckerberg, Elon Musk, Peter Thiel, Vinod Khosla, and Ashton Kutcher.[3] An additional undisclosed amount was later contributed by Amazon.com CEO Jeff Bezos, Yahoo! co-founder Jerry Yang, Skype co-founder Janus Friis and Salesforce.com CEO Marc Benioff.[4]

Vicarious is developing machine learning software based on the computational principles of the human brain. One such software is a vision system known as the Recursive Cortical Network (RCN), it is a generative graphical visual perception system that interprets the contents of photographs and videos in a manner similar to humans. The system is powered by a balanced approach that takes sensory data, mathematics, and biological plausibility into consideration.[5][6] On October 22, 2013, beating CAPTCHA, Vicarious announced its model was reliably able to solve modern CAPTCHAs, with character recognition rates of 90% or better when trained on one style. However, Luis von Ahn, a pioneer of early CAPTCHA and founder of reCAPTCHA, expressed skepticism, stating: "It's hard for me to be impressed since I see these every few months." He pointed out that 50 similar claims to that of Vicarious had been made since 2003.[7] Vicarious later published their findings in peer-reviewed journal Science[8] showing they had definitively cracked the popular test.

Vicarious has indicated that its AI was not specifically designed to complete CAPTCHAs and its success at the task is a product of its advanced vision system. Because Vicarious's algorithms are based on insights from the human brain, it is also able to recognize photographs, videos, and other visual data.[9]

The Recursive Cortical Network uses a Markov Random Field to segment images (similar to the visual cortex) and process it through a hierarchy consisting of lateral connections. Thanks to the architecture, the model has extreme data efficiency (almost 900,000x more data efficient than traditional deep neural networks). The RCN is part of a model that incorporates a causal model and concept induction system recently created by Vicarious.

• Artificial intelligence
• Glossary of artificial intelligence

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