While this is technically a press release, there could be something to DarwinAI if it really can increase neural networks performance more than 1600%. We’ll have to keep an eye on this technology. 😉

“The complexity of deep neural networks makes them a challenge to build, run and use, especially in edge-based scenarios such as autonomous vehicles and mobile devices where power and computational resources are limited,” said Sheldon Fernandez, CEO of DarwinAI. “Our Generative Synthesis platform is a key technology in enabling AI at the edge – a fact bolstered and validated by Intel’s solution brief.”

MIT has unveiled an artificial intelligence system that it said could make an array of AI techniques more accessible to programmers, while also offering adding value to experts.

Researchers said the system, called Gen, is similar to TensorFlow, a set of tools developed by Google for automating AI tasks, principally those involved with deep learning and neural networks.

Here’s another article on the advances made on neural network design.

A new area in artificial intelligence involves using algorithms to automatically design machine-learning systems known as neural networks, which are more accurate and efficient than those developed by human engineers. But this so-called neural architecture search (NAS) technique is computationally expensive. A state-of-the-art NAS algorithm recently developed by Google […]