reduces

The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers at the Technical University of Munich (TUM) have developed a method that is 100 times faster and therefore much more energy efficient. Instead of taking an iterative approach, the parameters areContinue Reading

This is a guest post co-written with Ratnesh Jamidar and Vinayak Trivedi from Sprinklr. Sprinklr’s mission is to unify silos, technology, and teams across large, complex companies. To achieve this, we provide four product suites, Sprinklr Service, Sprinklr Insights, Sprinklr Marketing, and Sprinklr Social, as well as several self-serve offerings.Continue Reading