AlphaZero generalized to learn more games by itself

From this Cornell University page, Google’s AlphaZero algorithm has been generalized to learn new games given only the game rules: “In this paper, we generalise this approach into a single AlphaZero algorithm that can achieve, tabula rasa, superhuman performance in many challenging domains.

Google is introducing a Neural Networks API in Android 8.1 developer preview

Several media outlets are reporting that Google is introducing their Neural Networks API in developer preview of Android 8.1. TechCrunch has a well-written article that includes this:

“The big highlight here is the new Neural Networks API, which brings hardware-accelerated inference to the phone for quickly executing previously trained machine learning models. Bringing these calculations to the edge can bring a lot of utility to the end user by reducing latency and load on the network, while also keeping more sensitive data on-device.”

AlphaGo Zero whips AlphaGo, 100-0

NPR reports that a new version of Google’s AlphaGo Zero software became a Go master by learning to play the game only by playing itself, i.e., only by using reinforcement learning (as opposed to supervised learning). Per the report in, “AlphaGo Zero achieved superhuman performance, winning 100–0 against the previously published, champion-defeating AlphaGo.”

Caliper, a tool for running benchmark tests in Java alvin September 5, 2017 - 10:24am

Caliper is a tool for running benchmarks (micro benchmark tests) in Java.