Announcing the UnifyID Spring AI Fellowship

Today, we would like to announce the UnifyID AI Fellowship program for Spring 2017. This is the second edition of the fellowship (Fall 2016 cohort) and is expected to run for 12 weeks, February 23 through May 18. This 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
  • UX/UI Development for the above areas
  • Tech Journalism for the above areas
  • Special Focus:

We will be assigning one fellow to work on fakenewschallenge.org in collaboration with Dr. Dean Pomerleau of the Carnegie Mellon University Robotics Institute. If interested, please add a note in your application. We expect this fellowship applicant to have substantial experience with handling textual data and NLP expertise. The application should reflect links to previous work in this domain.

 

FELLOWSHIP DETAILS

Our UnifyID AI Fellows will be initially allocated to a well-defined project matched with their area of interest and expertise and also mapped to a fellowship mentor. The fellows are then presented with a week’s time to collaborate with the mentor and come up with an 11-week timeline roughly detailing the pathway that they plan to take to achieve the project end-goals.

During the fellowship, the fellows are expected to convene in-person and present weekly updates every Thursday evening in our office located in SoMa, San Francisco. In exceptional cases, individuals will be allowed to present via video chat. Absentees in these update-presentation sessions for two consecutive weeks will result in an automatic ejection from the fellowship.

All selected fellows will be awarded:

  1. Life-long designation as a UnifyID AI Fellow.
  2. A fellowship stipend.
  3. Access to state-of-the-art GPU hardware and $360,000 in Microsoft Azure cloud service credits.
  4. Access to our office space in SoMa.
  5. Prepaid Clipper card to help with commuting to/from the office.
  6. A chance to collaborate and publish with top-tier security experts from MIT, Stanford, CMU, Berkeley, Dartmouth, etc.
  7. Conference registration fees for all of the publications that emanate from the fellowship.
  8. Travel expenses for one flagship top-tier conference in case fellow’s work gets accepted as a publication.
  9. A citation and certificate commemorating your achievement.
  10. Exclusive UnifyID Fellow swag.
  11. A chance to present at the UnifyID Tech-expo Day in May 2017.

 

DELIVERABLES

  1. A short paper describing the project.
  2. A detailed, well-commented code submission on either ai-on.org or http://www.gitxiv.com (in case you have an arxiv worthy submission).
  3. A one-page blog post providing a less technical version of the project details. ($ ipython nbconvert–to markdown notebook.ipynb–stdout will do!)
  4. A final presentation in .ppt or .pdf format during the UnifyID Tech-expo Day.

We also expect that with regard to some of the projects, we may be able to munge certain openly available datasets and upload with associated open problems on ai-on.org if the fellow is limited by the timeline of the fellowship.

 

REQUIREMENTS

We welcome applications from practitioners, tech-enthusiasts as well as students spanning both the undergraduate and graduate levels, preferably from the SF bay area. 

 

Tracks Languages Libraries/Platforms/Frameworks
Machine Learning Python, Lua, Julia, R, Scala, Java Scikit-learn, Torch/Autograd, Caffe, Keras with Theano/TensorFlow, Chainer
Mobile Development Swift, Objective C, Java Core Location, Core Motion, Core Bluetooth, DeepLearningKit,Accelerate: BNNS, CoreAudio/AudioKit
Security C, C++, JavaScript AES, RSA, ECDSA, PKI, Functional Encryption, Enclaves (SGX)
UX/UI Development (Portfolio Review)
Tech Journalism (Portfolio Review)

Please apply here with the following:

  1. Resume
  2. A personal statement (no longer than 250 words) explaining what you expect to achieve with this fellowship.
  3. A 5-slide presentation (ppt or pdf) detailing your most cherished accomplishment in the area you are applying to (with links to publication(s), GitHub code-base, live-project link, etc.).

 

UnifyID AI Fellowship

San Francisco, CA

Program Weekend Dates: February 23 – May 18, 2016

Application due date: January 31, 2017, 11:59 PM (PDT)

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#!

Announcing the UnifyID AI Fellowship

Today, we would like to announce the UnifyID AI Fellowship program for Fall 2016. The fellowship runs for six weeks, beginning October 28, 2016 through to December 4, 2016. This 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.

All selected fellows will be awarded:

  1. A fellowship stipend.
  2. Access to state-of-the-art GPU hardware and $360,000 in Microsoft Azure cloud service credits.
  3. Weekend access to our office space in SoMa, as well as as-needed access on weekdays.
  4. Prepaid Clipper card to help with commuting to/from the office.
  5. Chance to collaborate and publish with top-tier security experts from MIT, Stanford, CMU, Berkeley, Dartmouth, etc.
  6. A citation, certificate, and plaque commemorating your achievement.
  7. Exclusive UnifyID Fellow signature bags and sweatshirts for the Fall 2016 inaugural class.
  8. A chance to present at the UnifyID Tech-expo Day in December 2016.

We expect the work from your Fellowship to result in either a publication (with fully open-sourced code and data repository on GitHub for reproducible research) or a patent filing.

 

REQUIREMENTS

We welcome applications from practitioners, hackers, tech-enthusiasts as well as students in full-time accredited academic programs both at the undergraduate and graduate levels, preferably from the SF bay area. An ideal candidate has both math and coding chops, but more importantly, this individual is an engineer, signal-processor, hacker, and self-proclaimed guru who is comfortable with crafting, hacking, implementing, re-implementing, and breaking Machine Learning algorithms deep, shallow or otherwise.

 Tracks Machine Learning Mobile Dev.
Languages Python, Lua, Julia, R, Scala, Java Swift, Objective C, Java
Libraries/Platforms/Frameworks Scikit-learn, Torch/Autograd, Caffe, Keras with Theano/TensorFlow, Chainer Core Location, Core Motion, Core Bluetooth, DeepLearningKit, Accelerate: BNNS, CoreAudio/AudioKit
OS Ubuntu, OS X, RHEL / CentOS / Fedora, iOS, Android

Please apply here and include in the open form field, a personal statement (no longer than 250 words) explaining what you expect to achieve with this fellowship along with your favorite moment in the sun (publication, GitHub code-base, live-project link).

 

UnifyID AI Fellowship

San Francisco, CA

Program Weekend Dates: October 28 – December 4, 2016

Application due date: October 17, 2016, 11:59 PM (PDT)