DevOps for AI presents massive challenges to all sizes of organizations. If your team is only a couple of developers, you don’t want to distract them from their primary mission by requiring them to put in a ton of effort supporting infrastructure.For large organizations, AI/ML models require a completely customized DevOps stack.
As you know when Chrome or your Internet crashes, you have the option to control a 2D dinosaur jumping to avoid obstacles. Lets’ play with TensorFlow.js and be the master of this Google’s game, firstly …
Shelly Fan, neuroscientist at the University of California, has published this fantastic article about how DeepMind is researching to implement the ability to link one past memory with another. Nowadays humans still having advantage when tasks …
Google DeepMind researchers have used artificial intelligence (AI) to recreate the complex neural codes that the brain uses to navigate through space. The program surprised the scientists by spontaneously generating hexagonal-shaped patterns of activity akin to …
The design systems movement gains steam and interfaces become more standardized, why not artificial intelligence assisted design and development will be baked into the next generation of tooling. As pix2code paper and Airbnb launched sketch2code. This is the …
This image translation AI makes use of a type of algorithm called a generative adversarial network (GAN). In a GAN, two neural networks work together by essentially working against each other. One of the networks generates …
The Neural Networks API “supports inferencing by applying data from Android devices to previously trained, developer-defined models.” This system update is anything but minor and includes a bevy of under-the-hood changes for developers and end …