Imagine: 1-Click Login Across 500 Websites

Now, imagine seamless authentication everywhere. Software so powerful that by the sensors you already have on your phone, wearables, devices at home or the office, knows it’s you. No more 6-digit pin, string of upper and lowercase letters and numbers to signify that it is really you making a purchase, logging in, or entering a key swipe. Anywhere online or offline where you need to identify yourself, UnifyID promises that based on your everyday actions from factors like how you sit, walk, and type (i.e. passive factors also known as implicit authentication in academia), your “you-ness” can be determined with 99.999% accuracy. At times when the machine learning algorithms are unsure, an active challenge will be triggered on your nearest phone or device (e.g. fingerprint verification, among a dozen others in development).

Active Challenge
The UnifyID iOS active challenge is triggered when the machine learning algorithm requires additional verification to learn that it is really you.

UnifyID has been called the holy grail of authentication because the degree of security and sophistication of its machine learning efforts are unparalleled and the convenience and focus on usability makes trying the product unbelievably easy.

Between now and then, we’re in the stage of private beta–ensuring that the flows are easy and work as expected. UnifyID launched out of stealth at TechCrunch Disrupt in September. The initial sign on, logging out and logging back into sites has gone through more than 25 iterations in a few weeks (thanks to the onsite testers!). We’re ready to move forward to a remote private beta and test outside the bounds of our four-walls.

Join us on this journey to disrupt passwords. While “The Oracle” is still under development (our machine learning algorithms), we are moving full-forward on making sure that at this stage, the UnifyID user flows are easy for everyone to use, many times, everyday, across all sites.

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Sign up for the UnifyID Private Beta: https://unify.id, click “Apply for Private Beta,” enter “Imagination” and why you are interested in participating in the beta in the secret handshake field.

UnifyID Anoints 16 Distinguished Scientists for the AI Fellowship

Fast Growing Startup Uses Machine Learning to Solve Passwordless Authentication

Today, UnifyID, a service that can authenticate you based on unique factors like the way you walk, type, and sit, announced the final 16 fellows selected for its inaugural Artificial Intelligence Fellowship for the Fall of 2016. Each of the fellows have shown exemplary leadership and curiosity in making a meaningful difference in our society and clearly has an aptitude for making sweeping changes in this rapidly growing area of AI.

Of the company’s recent launch and success at TechCrunch Disrupt, claiming SF Battlefield Runner-Up (2nd in 1000 applicants worldwide), UnifyID CEO John Whaley said, “We were indeed overwhelmed by the amazing response to our first edition of the AI Fellowship and the sheer quality of applicants we received. We also take immense pride in the fact that more than 40% of our chosen cohort will be women, which further reinforces our commitment as one of the original 33 signees of the U.S. White House Tech Inclusion Pledge.”

The final 16 fellows hail from Israel, Paris, Kyoto, Bangalore, and cities across the U.S. with Ph.D., M.S., M.B.A., and B.S. degrees from MIT, Stanford, Berkeley, Harvard, Columbia, NYU-CIMS, UCLA, Wharton, among other top institutions.

  • Aidan Clark triple major in Math, Classical Languages and CS at UC Berkeley
  • Anna Venancio-Marques Data Scientist in Residence, PhD École normale supérieure
  • Arik Sosman Software Engineer at BitGo, 2x Apple WWDC scholar, CeBIT speaker
  • Baiyu Chen Convolutional Neural Network Researcher, Masters in CS at UC Berkeley

  • Fuxiao Xin Lead Machine Learning Scientist at GE Global Research, PhD Bioinformatics

  • Kathy Sohrabi VP Engineering, IoT and sensors, MBA at Wharton, PhD EE at UCLA
  • Kazu Komoto Chief Robotics Engineer, CNET Writer, Masters in ME at Kyoto University

  • Laura Florescu Co-authored Asymptopia, Mathematical Reviewer, PhD CS at NYU

  • Lorraine Lin Managing Director, MFE Berkeley, PhD Oxford, Masters Design Harvard
  • Morgan Lai AI Scientist, MIT Media Lab, Co-founder/CTO, M.Eng. CS at MIT
  • Pushpa Raghani Post Doc Researcher at Stanford and IBM, PhD Physics at JNCASR

  • Raul Puri Machine Learning Development at Berkeley, BS EE/CS/Bioeng at Berkeley
  • Sara Hooker Data Scientist, Founder non-profit, educational access in rural Africa
  • Siraj Raval Data Scientist, the Bill Nye of Computer Science on YouTube

  • Wentao Wang Senior New Tech Integration Engineer at Tesla, PhD ME at MIT

  • Will Grathwohl Computer Vision Specialist, Founder/Chief Scientist, BS CSAIL at MIT

 

This highly selective, cross-disciplinary program covers the following areas:

  • Deep Learning
  • Signal Processing
  • Optimization Theory
  • Sensor Technology
  • Mobile Development
  • Statistical Machine Learning
  • Security and Identity
  • Human Behavior

Our UnifyID AI Fellows will get to choose from one of 16 well-defined projects in the broad area of applied artificial intelligence in the context of solving the problem of seamless personal authentication. The Fellows will be led by our esteemed Fellowship Advisors, renown experts in machine learning and PhDs from CMU, Stanford, and University of Vienna, Austria.

Please welcome our incoming class! ✨

 

Read the original UnifyID AI Fellowship Announcement:

https://unify.id/2016/10/10/announcing-the-unifyid-ai-fellowship/

 

Initial Release:

http://www.prweb.com/releases/2016/unifyid/prweb13804371.htm#!