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NEAR AI

Teaching Machines to Code

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Machine Learning

Maksym Zavershynskyi in NEAR AI

NAPS: Natural Program Synthesis Dataset

Since we set out to solve programming, our initial goal is to figure out how computers can solve algorithmic problems. Recently, we published a great overview post on this — “Are we close to having machines solve TopCoder problems?” that described our approach.

Illia Polosukhin in NEAR AI

Review of Neural Programmer-Interpreters

This originally was published on http://near.ai/ in 2017, but since then we moved our…

Illia Polosukhin in NEAR AI

Neural Program Search Paper

Hi everybody,

In this blog post we will outline some of our work on using neural networks and search techniques to synthesize programs from natural language spec and few examples from our paper (which was presented at ICLR Workshop 2018).

Alexander Skidanov in NEAR AI

Are we close to having machines solve TopCoder problems?

Illia Polosukhin in NEAR AI

PyTorch — Dynamic Batching

If you have been reading my blog, you may have seen that I was a TensorFlow contributor and built a lot of high-level APIs there.

In Feb 2017 though, I have left Google and co-founded my own company — NEAR.ai. Where we are teaching machines to write code…

Illia Polosukhin in NEAR AI

Program Synthesis Papers at ICLR 2018

Program Synthesis is a subfield of Computer Science to automatically construct a program that…