Introducing PostgREST, a REST API for any PostgreSQL database written in Haskell
Written in Haskell, PostgREST is a standalone web server that enables you to turn your existing PostgreSQL database into a RESTful API. It offers...
Quantum computing, edge analytics, and meta learning: key trends in data science and big...
When historians study contemporary notions of data in the early 21st century, 2018 might well be a landmark year. In many ways this was...
Facebook AI introduces Aroma, a new code recommendation tool for developers
Facebook AI team announced a new tool, called Aroma, last week. Aroma is a code-to-code search and recommendation tool that makes use of machine...
Alibaba’s chipmaker launches open source RISC-V based ‘XuanTie 910 processor’ for 5G, AI, IoT...
Launched in 2018, Alibaba’s chip subsidiary, Pingtouge made a major announcement yesterday. Pingtouge is launching its first product - chip processor XuanTie 910 using...
TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
TimeScaleDB announced yesterday that they are going distributed; this version is currently in private beta with the public version slated for later this year....
GQL (Graph Query Language) joins SQL as a Global Standards Project and will be...
On Tuesday, the team at Neo4j, the graph database management system announced that the international committees behind the development of the SQL standard have...
Intelligent Edge Analytics: 7 ways machine learning is driving edge computing adoption in 2018
Edge services and edge computing have been in talks since at least the 90s.
When Edge computing is extended to the cloud it can be...
Introducing TXQR, data transfer via animated QR codes
TXQR is a project for transferring data via animated QR codes. It is written in Go and uses fountain erasure codes. Ivan Daniluk, it’s...
Neural Network Intelligence: Microsoft’s open source automated machine learning toolkit
Google’s Cloud AutoML now has competition; Microsoft have released an open-source automated machine learning toolkit of their own. Dubbed as Neural Network Intelligence, this...
Dopamine: A Tensorflow-based framework for flexible and reproducible Reinforcement Learning research by Google
Yesterday, Google introduced a new Tensorflow-based framework named Dopamine, which aims to provide flexibility, stability, and reproducibility for both new and experienced RL researchers....
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Understanding the Foundation of Protocol-oriented Design
When Apple announced Swift 2 at the World Wide Developers Conference (WWDC) in 2016, they also declared that Swift was the world’s first protocol-oriented...
