Learn About the Super Powers Our A.I. Gives You

So, where's the A.I.?

A.I. has become a broad term to describe complex algorithms involving deep learning, natural language processing, and statistical inference. At Remesh, we use A.I. algorithms to solve speed and scaling challenges throughout our research platform.

A.I. is often where the explanation stops, but we've decided to show you exactly where we use A.I. throughout our platform.

Remesh Uses A.I. to Get Past Old Barriers:

Product
Challenge
A.I. Solution
Product

Challenge

How to get people's opinions on a large number of responses in a short period of time

A.I. Solution
Dynamic sampling based on a Monte Carlo like convergence algorithm
Product

Challenge

How to compute how popular each response is based on voting data

A.I. Solution
Use Bayesian inference on the binary choice data to infer the apriori distribution of opinion for each response which maximizes the likelihood of the votes observed
Product

Challenge

How to identify and visualize clusters of similar opinion within extremely high dimensional data

A.I. Solution
Use spectral clustering on opinion vectors to identify clusters and use dimensionality reduction to map the high-dimensional opinion vector to three dimension, which can be visualized
Product

Challenge

How to know which responses are similar to each other

A.I. Solution
Use language embedding to map each response to a vector and then compute semantic similarity between two responses by the cosine similarity between their embedding vectors

We are constantly doing research to update our A.I.

At Remesh, we view machine intelligence as a force to give people super powers

Click here to stay up to date on all of our A.I. developments >

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