Blink
Rendering engine for Chromium (Google Chrome browser) and Chromium OS (Google Chrome OS).
Open source community development.
Tons of resources available for interested browser and operating systems developers.
Showing posts with label google. Show all posts
Showing posts with label google. Show all posts
Thursday, July 13, 2017
Blink
Labels:
blink,
browser,
chrome,
chromium,
developers,
development,
google,
open source,
operating system,
rendering engine
Thursday, May 4, 2017
Kubernetes.io Open Source Container
Kubernetes.io
excerpted from website:
Kubernetes is an open-source platform for automating deployment, scaling, and operations of application containers across clusters of hosts, providing container-centric infrastructure.
Our goal is to foster an ecosystem of components and tools that relieve the burden of running applications in public and private clouds.
Kubernetes is:
The Kubernetes project was started by Google in 2014. Kubernetes builds upon a decade and a half of experience that Google has with running production workloads at scale, combined with best-of-breed ideas and practices from the community
excerpted from website:
Kubernetes is an open-source platform for automating deployment, scaling, and operations of application containers across clusters of hosts, providing container-centric infrastructure.
- With Kubernetes, you are able to quickly and efficiently respond to customer demand:
- Deploy your applications quickly and predictably.
- Scale your applications on the fly.
- Seamlessly roll out new features.
- Optimize use of your hardware by using only the resources you need.
Our goal is to foster an ecosystem of components and tools that relieve the burden of running applications in public and private clouds.
Kubernetes is:
- portable: public, private, hybrid, multi-cloud
- extensible: modular, pluggable, hookable, composable
- self-healing: auto-placement, auto-restart, auto-replication, auto-scaling
The Kubernetes project was started by Google in 2014. Kubernetes builds upon a decade and a half of experience that Google has with running production workloads at scale, combined with best-of-breed ideas and practices from the community
Thursday, March 30, 2017
Free Library of Blockchain Scientific Papers
https://steemit.com/blockchain/@hipster/library-of-blockchain-scientific-papers
Includes two links to google drive hosted research.
500+ blockchain papers.
500+ bitcoin papers.
Includes two links to google drive hosted research.
500+ blockchain papers.
500+ bitcoin papers.
Labels:
@hipster,
bitcoin,
blockchain,
google,
google drive,
papers,
research,
steemit
Thursday, February 23, 2017
DeepMind (Google's AI)
DeepMind
Excerpted from DeepMind website:
DeepMind's scientific mission is to push the boundaries of AI, developing systems that can learn to solve any complex problem without needing to be taught how. To achieve this, we work from the premise that AI needs to be general. Agents should operate across a wide range of tasks and be able to automatically adapt to changing circumstances. That is, they should not be pre-programmed, but rather, able to learn automatically from their raw inputs and reward signals from the environment. There are two parts to this research program: (1) designing ever-more intelligent agents capable of more-and-more sophisticated cognitive skills, and (2) building increasingly complex environments where agents can be trained and evaluated.
Train AI agents through gamelogic
Open source, GNU GPL v.2 licensing (free for private / commercial use, with GNU GPL rights clause)
Available on GitHub
Excerpted from DeepMind website:
DeepMind's scientific mission is to push the boundaries of AI, developing systems that can learn to solve any complex problem without needing to be taught how. To achieve this, we work from the premise that AI needs to be general. Agents should operate across a wide range of tasks and be able to automatically adapt to changing circumstances. That is, they should not be pre-programmed, but rather, able to learn automatically from their raw inputs and reward signals from the environment. There are two parts to this research program: (1) designing ever-more intelligent agents capable of more-and-more sophisticated cognitive skills, and (2) building increasingly complex environments where agents can be trained and evaluated.
Train AI agents through gamelogic
Open source, GNU GPL v.2 licensing (free for private / commercial use, with GNU GPL rights clause)
Available on GitHub
Subscribe to:
Posts (Atom)