or subscribe with
Join 0+ readers for one email each week.
Digests » 164
this week's favorite
There’s quite a similarity between cloud native and Artificial Intelligence. Things here move pretty fast, and if you are the curious kind, you would always be excited to explore new and exciting tech. It’s kind of bad as sometimes you get distracted by some new technology so much that you skip your work.
Contrastive learning is a machine learning technique used to learn the general features of a dataset without labels by teaching the model which data points are similar or different.
Ray is a thriving open-source project focused on “providing a universal API for distributed computing” - in other words, trying to build primitives that allow applications to easily run and scale (even across multi-cloud environments), using an actor-like framework.
Computing with light could slash the energy needs of neural networks.
The rapidly increasing usage of machine learning raises complicated questions: How can we tell if models are fair? Why do models make the predictions that they do? What are the privacy implications of feeding enormous amounts of data into models?