Appwrite is an end-to-end backend server for Web, Mobile, Native, or Backend apps packaged as a set of Docker microservices. Appwrite abstracts the complexity and repetitiveness required to build a modern backend API from scratch and allows you to build secure apps faster.
This is a really nice set of standard services for mobile development. You can get up to speed really quickly with your apps and prototype your backend with this tool.
This is the first post in a series called Things You Should Know. Think of it as a primer to level set from base principles on various topics. Today we are discussing databases!
This is a really useful article for people who are not familiar about the ins and outs of databases.
In 2009, a computer scientist then at Princeton University named Fei-Fei Li invented a data set that would change the history of artificial intelligence. Known as ImageNet, the data set included millions of labeled images that could train sophisticated machine-learning models to recognize something in a picture. The machines surpassed human recognition abilities in 2015. Soon after, Li began looking for what she called another of the “North Stars” that would give AI a different push toward true intelligence.
She found inspiration by looking back in time over 530 million years to the Cambrian explosion, when numerous land-dwelling animal species appeared for the first time. An influential theory posits that the burst of new species was driven in part by the emergence of eyes that could see the world around them for the first time. Li realized that vision in animals never occurs by itself but instead is “deeply embedded in a holistic body that needs to move, navigate, survive, manipulate and change in the rapidly changing environment,” she said. “That’s why it was very natural for me to pivot towards a more active vision [for AI].”
The term is "embodied AI".
QuickGrid isn't intended to replace advanced datagrid components such as those from commercial component vendors. Instead, the purpose is:
- To provide a convenient, simple, and flexible datagrid component for Blazor developers with the most common needs
- To provide a reference architecture and performance baseline for anyone building Blazor datagrid components. Feel free to build on this, or simply copy code from it.
The filtering demo looks amazing.
This is a fantastic news. Now all the previously "enterprise only" features are all available to all!
In addition Citus 11 brings
- Querying from any node: via automatic schema propagation
- Upgrading an existing Citus database cluster to Citus 11.0: trigger metadata sync for existing nodes
- Object Propagation: more distributed objects & more Postgres compatability
- Citus managed local tables: access local tables from any node