Jay van Zyl @ ecosystem.Ai

Jay van Zyl @ ecosystem.Ai

Artificial Intelligence Hits the Barrier of Meaning – New York Times


New York Times

Artificial Intelligence Hits the Barrier of Meaning
New York Times
You’ve probably heard that we’re in the midst of an A.I. revolution. We’re told that machine intelligence is progressing at an astounding rate, powered by “deep learning” algorithms that use huge amounts of data to train complicated programs knows as

Does Synthetic Data Hold The Secret To Artificial Intelligence? – Forbes

ForbesDoes Synthetic Data Hold The Secret To Artificial Intelligence?ForbesCould synthetic data be the solution to rapidly train artificial intelligence (AI) algorithms? There are advantages and disadvantages to synthetic data; however, many technology…

Predicting eye disease with Moorfields Eye Hospital

In August, we announced the first stage of our joint research partnership with Moorfields Eye Hospital, which showed how AI could match world-leading doctors at recommending the correct course of treatment for over 50 eye diseases, and also explain how…

Reinforcement Learning with Prediction-Based Rewards

We’ve developed Random Network Distillation (RND), a prediction-based method for encouraging reinforcement learning agents to explore their environments through curiosity, which for the first time exceeds average human performance on Montezuma’s Revenge.

Learning Complex Goals with Iterated Amplification

We’re proposing an AI safety technique called iterated amplification that lets us specify complicated behaviors and goals that are beyond human scale, by demonstrating how to decompose a task into simpler sub-tasks, rather than by providing labeled data or a reward function. Although this idea is in its very

Open sourcing TRFL: a library of reinforcement learning building blocks

Today we are open sourcing a new library of useful building blocks for writing reinforcement learning (RL) agents in TensorFlow. Named TRFL (pronounced truffle), it represents a collection of key algorithmic components that we have used internally for …

OpenAI 2019 Winter Scholars Application Open

We are now accepting applications for our second cohort of OpenAI Scholars, a program where we provide 6-10 stipends and mentorship to individuals from underrepresented groups to study deep learning full-time for 3 months and open-source a project. The first cohort of Scholars recently released their projects and presented at

OpenAI 2019 Winter Fellows & Summer Interns

We are now accepting applications for OpenAI Fellows and Interns for 2019. These programs provide an opportunity for people to work at OpenAI who are currently studying AI or wanting to transition from another speciality into AI.

Fellows