Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out

With the growing popularity of intelligent assistants (IAs), evaluating IA quality becomes an increasingly active field of research. This paper identifies and quantifies the feedback effect, a novel component in IA-user interactions: how the capabilities and limitations of the IA influence user behavior over time. First, we demonstrate that unhelpful responses from the IA cause …

Addressing the network data monetization complexities

In our previous blog, we identified the three layers to network data monetization. These were the data layer, the analytics layer and the automation layer. To address the network data value tree successfully, we must address the complexities of these three layers, which are essential for automated operations in telco. In the next part we …

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UniPi: Learning universal policies via text-guided video generation

Posted by Sherry Yang, Research Scientist, and Yilun Du, Student Researcher, Google Research, Brain Team Building models that solve a diverse set of tasks has become a dominant paradigm in the domains of vision and language. In natural language processing, large pre-trained models, such as PaLM, GPT-3 and Gopher, have demonstrated remarkable zero-shot learning of …

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Deploy a predictive maintenance solution for airport baggage handling systems with Amazon Lookout for Equipment

This is a guest post co-written with Moulham Zahabi from Matarat. Probably everyone has checked their baggage when flying, and waited anxiously for their bags to appear at the carousel. Successful and timely delivery of your bags depends on a massive infrastructure called the baggage handling system (BHS). This infrastructure is one of the key …