R42 Institute AI Fellows Program
R42 Institute is running an AI Fellowship Program. A launchpad for deep technology and science disruptors, the Fellowship is designed to develop AI/machine learning, deep science, design thinking and entrepreneurial skills of emerging talent.
The Fellowship has been designed to provide each Fellow with one-on-one mentoring, an opportunity to hone their tech and science skills and combine it with design thinking tools over an accelerated period.
This is an online program, with virtual interaction
There is no fee for the program. The Fellowship is highly competitive and spaces are limited
AI Fellows Will Receive:
. R42 Institute AI Course (both live and recorded classes) - Fellows can get accelerated content to work on their projects
One-on-one mentoring with R42 team
All R42 lectures
R42 Institute Certificate
A unique opportunity to build a wide network of inventors, entrepreneurs and investors
Date : June 1 - August 13th
Apply : Our application is simple. Tell us which project you are interested in, or propose a new one for R42, and a bit more background on yourself.
Interview : After receiving your application, we will schedule a 20-minute online video interview with a member of the R42 team to learn more about your background and interests.
Get Notified : After the interview, you will receive an admissions decision quickly - within 1-2 days
About R42 Institute:
R42 Institute, part of the R42 group, educates about AI, longevity, biotechnology. Its mission is to further define the university of the future which will be ever more important in the post-COVID world. This is another opportunity to seek ways to create the future and not just react to it.
Current Project Offerings:
Each Fellow will undertake a project. Below are the projects R42 is offering. More projects may be listed later. Please, contact us directly if you have any ideas for projects for R42 and its portfolio companies.
1. 3D Videoconferencing holodeck platform (with Dr. Adrian Cable)
Recently there have become available new 3D visualization tools for holographic representations
This project will involve constructing a toolkit with off-the-shelf hardware
The objective will be to create a 3D video conferencing solution so people can look at tech across the table in 3D
REQUIREMENTS: C or C++ programming skills.
2. High Speed object recognition for a throwable camera (with with Francisco Aguilar and Sietse Dijkstra)
One of R42's portfolio companies has built a throwable ball camera that can capture stabilized video in near real time as the ball is travelling through the air. The objective of this project will be to investigate the application of neural network systems like YOLO and Single Shot Detection to categorize objects and people in the video.
3. Stock Market Prediction (with Dr. Jeremy Sosabowski and Dr. Frank Sortino)
Predicting the stock market has been the holy grail for financiers. There have been many mathematical models.
Most often, however, these models rely on their own past data. We will be taking signals from a model that does not use past data and attempt to get a model that takes an ensemble of predictive signals to find the best model for the trading system.
We will be working with signals from Algodynamix.com. Pre-requisites: knowledge or willingness to learn, a statistical programming language. And/or user interface programming.
4. Making AI Easier to Explain: Creation of AI examples for Use in Teaching (with Dr. Ronjon Nag)
This project will involve creating sample code in python on the google colab platform. The projects will take a problem, and have code that can upload a dataset, and allow users to change parameters in various kinds of neural networks, using the Keras platform.
5. Mimio - Creating a Personlity Engine (with Praveena Dhanalakota)
Some of the technology areas we are focusing on are:
- Speaker diarization
- Voice emulation
- Speech emotion recognition
- Knowledge graph for predicting possible conversations
2. Student Goals:
- Experiment on speech sentiment analysis
- To analyze voice data to understand emotion and sentiment.
- Experiment on the knowledge graph
- Recreate mannerisms based on past conversation data available. This will enable to frame interactive and therapeutic responses
- Author a blog post for experiments
Pre-requisites: Programming experience (minimum 1-2 years)
6. SuperBio: Creating a No-code Computational Biology Platform (with Berke Buyukkucak)
Summary: Predicting protein folding is the holy grail of biology and there has been great strides made in this field, thanks to machine learning. Fellows that participate in this project will decipher, understand and try to improve the AlphaFold code that was implemented and then made public by DeepMind, Google's AI company.
Motivation: Protein folding prediction knowledge and skill can be translated into machine learning driven drug discovery research, which is a growing and forceful field that shows the potential to revolutionize both pharmaceutical and medical research.
Challenges: Difficult concept to understand and implement, terminology based knowledge.
Impact: Learn about a unique field that's developing, get students educated and knowledgeable. Pre-requisites: user interface programming, machine learning.
7. Mathematics of Venture Capital
Summary: Venture capital investing is often described as qualitative where companies are evaluated on ephenral criteria. This project will attempt to apply mathematics to venture capital portfolio contruction, and company evaluation. Pre-reqs: Excel.