Bing continuing to expand on its intelligent search capabilities on Monday, added many new improvements to exisitng answers as well as new scenarios that include facts from multiple sources that get you answer faster.
Bing’s intelligent search that leverages artifical intelligence (AI) to provide people with more comprehensive search answers, and enchance image and conversational search faster was first launhced in December 2017.
Intelligent answers now include aggregated relevant information across multiple sites about a topic. Bing will give you facts compiled from three different sources at the top of the results page.
Here is a screenshot of facts across multiple sources:
Here’s what’s new in the Bing AI-powered intelligent search
Hover-over Definitions for Uncommon Words at a Glance
Starting this week, when Bing encounter a unrecognized word will now show you its definition when you hover over with the cursor. You would just hover over to get the definition without leaving the page.
Multiple Answers for How-to Questions
Bing will offer answers for how-to questions so users can refined their search and find relevant information quickly in next few weeks. “Multiple answers is especially helpful in situations where a user struggle to write a specific enough query, such as when they have DIY questions but may not know the right words to ask.”
Object Detection Now Cover All Common Top Fashion Categories
Bing notes, their built-in object detection feature today expands to cover all top common fashion categories. Initially this intelligent image search focused on a few fasion items, such as shirts and handbags.
With intelligent image search, people can search within an image to find similiar images and products by manually selecting and cropping a desired object. But, with built-in object detection, Bing automatically identifyes these objects and highlighting them with clickable hotspots, so a user only need to click to get matching results.
When searching for facts, Bing may show information from multiple sources, all in one featured snippet.
Advancing Intelligent Capabilities with Intel FPGA
Bing explains it’s intelligent search is built on Project Brainwave, which uses Intel Arria and Stratix Field Programmable Gate Arrays (FPGAs) to run deep natural networks to quickly read and analyze billions of documents across the web and provide you with best answer in less than a fraction of a second.
In fact, Intel’s FPGAs have “helped to decrease the latency of the models by more than 10x, while also increasing model’s size by 10x,” Bing wrote.
You can read more about the advances in the deep neural networks in the white paper, “Serving DNNs in Real Time at Datacenter Scale with Project Brainwave”, and or watch this video explaining the technology: