New Paper: Evolving Deep Neural Networks

Training neural networks is time-consuming and difficult. Generally, it involves multiple PhDs tweaking the network over time, testing and retesting, adjusting the architecture and parameters, and, hopefully, ending up with a network that understands its inputs and makes accurate judgments. And as we ask neural networks to do more and complex tasks, they themselves are…

Sentient Adds to its Patent Portfolio – This Time with Massively Distributed Age-Layered Evolutionary Computation

Here at Sentient, we’ve developed what we believe to be the world’s most powerful distributed artificial intelligence system, which we use to build innovative products that solve some of the world’s toughest problems. Our work in using AI-derived strategies for trading, and in creating a new navigational paradigm for ecommerce with Sentient Aware are examples…