Fusing measurements from multiple, heterogeneous, partial sources, observing a common object or process, poses challenges due to the increasing availability of numbers and types of sensors. In this work we propose, implement and validate an end-to-end computational pipeline in the form of a multiple-auto-encoder neural network architecture for this task. The inputs to the pipeline are several sets of partial observations, and the result is a globally consistent latent space, harmonizing (rigidifying, fusing) all measurements. The key enabler is the availability of multiple slightly perturbed measurements of each instance:, local measurement, "bursts", that allows us to estimate the local distortion induced by each instrument. We demonstrate the approach in a sequence of examples, starting with simple two-dimensional data sets and proceeding to a Wi-Fi localization problem and to the solution of a "dynamical puzzle" arising in spatio-temporal observations of the solutions of Partial Differential Equations.

With conversational commerce mushrooming throughout the retail world, it surely must have the feel of déjà vu for the iconic 1-800-Flowers.com Founded in 1976 and branded with its workhorse 1-800-Flowers phone number in 1986, the company can point to its penchant for speaking directly to its customers as a reason for its longevity -- first through the phone and then across the internet. The process of conversational commerce uses remarkably intuitive technology tools such as voice messaging and chatbot applications to facilitate seamless interactions between brands and shoppers to drive transactions or trigger service. Voice protocols are emerging as the dominant technique fueling conversational commerce, notably voice assistants such as Apple Siri, Google Assistant and Amazon Alexa. In addition, text-enabled chatbots are proliferating to help consumers through human-like conversations.

In this July 21, 2017 photo, Sylvia Acevedo, right, CEO of the Girl Scouts of the USA, assists a member of the Girl Scouts of Central Maryland as she builds a simple robotic arm during an introduction to the world of robotics in Owings Mills, Md. "It's really all about how do we capture that interest in science and technology," Acevedo said. "The other thing is the girls are learning not just how to do a specific skill but also how to think, how to think like an inventor, how to think like a creator, how to think like a maker. Those are the types of things that we want to ignite in the girls."

Girl Scouts of all ages can now earn 23 new badges focused on science, technology, engineering and math, the largest addition of new badges in a decade. The effort takes a progressive approach to STEM and also nudges girls to become citizen scientists using the great outdoors as their laboratory.