Groups Similar Look up By Text Browse About

Similar articles
Article Id Title Prob Score Similar Compare
135354 TECHCRUNCH 2019-5-15:
Microsoft open-sources a crucial algorithm behind its Bing Search services
1.000 Find similar Compare side-by-side
135440 VENTUREBEAT 2019-5-15:
Microsoft open-sources key Bing Search search algorithm
0.992 0.752 Find similar Compare side-by-side
135362 ARSTECHNICA 2019-5-15:
Microsoft open sources algorithm that gives Bing some of its smarts
0.967 0.627 Find similar Compare side-by-side
135495 VENTUREBEAT 2019-5-16:
Microsoft makes Google’s BERT NLP model better
0.371 Find similar Compare side-by-side
135103 ENGADGET 2019-5-14:
Twitter will direct vaccine-related searches to 'a credible' source
0.346 Find similar Compare side-by-side
135358 THEVERGE 2019-5-15:
Angry Redditors are trying to Google bomb Game of Thrones writers
0.340 Find similar Compare side-by-side
135212 THEVERGE 2019-5-14:
Twitter fights vaccine misinformation with new search tool
0.311 Find similar Compare side-by-side
135467 VENTUREBEAT 2019-5-15:
Microsoft announces latest AI for Accessibility grant recipients
0.300 Find similar Compare side-by-side
135193 TECHREPUBLIC 2019-5-14:
Beginner's guide for TensorFlow: The basics of Google's machine-learning library
0.296 Find similar Compare side-by-side
135364 TECHREPUBLIC 2019-5-15:
How to add cognitive services to your Microsoft Azure resources
0.291 Find similar Compare side-by-side
135312 TECHCRUNCH 2019-5-15:
7 accessibility-focused startups snag grants from Microsoft
0.286 Find similar Compare side-by-side
135336 TECHCRUNCH 2019-5-15:
Oh no, there’s A.I. whiskey now
0.284 Find similar Compare side-by-side
135490 ARSTECHNICA 2019-5-16:
Saved from obsolescence, Microsoft is now making Paint better
0.282 Find similar Compare side-by-side
135795 TECHCRUNCH 2019-5-17:
Microsoft aims to train and certify 15,000 workers on AI skills by 2022
0.279 Find similar Compare side-by-side
135383 THENEXTWEB 2019-5-15:
Microsoft’s AI hallucinates unique whisky flavors
0.278 Find similar Compare side-by-side
135532 VENTUREBEAT 2019-5-16:
Xnor launches embedded AI platform AI2Go
0.277 Find similar Compare side-by-side
135116 TECHCRUNCH 2019-5-14:
New Relic takes a measured approach to platform overhaul
0.276 Find similar Compare side-by-side
135228 TECHREPUBLIC 2019-5-14:
Feniks: Microsoft's cloud-scale FPGA operating system
0.274 Find similar Compare side-by-side
135662 TECHCRUNCH 2019-5-16:
Baidu, China’s answer to Google, reports first quarterly loss since 2005
0.268 Find similar Compare side-by-side
135104 TECHCRUNCH 2019-5-14:
Twitter launches new search features to stop the spread of misinformation about vaccines
0.268 Find similar Compare side-by-side
135598 THENEXTWEB 2019-5-16:
The most compelling tech tools to assist the visually impaired
0.267 Find similar Compare side-by-side
135002 THEVERGE 2019-5-13:
Use this cutting-edge AI text generator to write stories, poems, news articles, and more
0.266 Find similar Compare side-by-side
135592 ENGADGET 2019-5-16:
Microsoft invests in seven AI projects to help people with disabilities
0.264 Find similar Compare side-by-side
135471 TECHCRUNCH 2019-5-15:
Tealium, a big data platform for structuring disparate customer information, raises $55M at $850M valuation
0.264 Find similar Compare side-by-side
135409 VENTUREBEAT 2019-5-15:
Tealium raises $55 million to track your behavior on the web
0.263 Find similar Compare side-by-side


ID: 135354


Date: 2019-05-15

Microsoft open-sources a crucial algorithm behind its Bing Search services

Microsoft today announced that it has open-sourced a key piece of what makes its Bing search services able to quickly return search results to its users. By making this technology open, the company hopes that developers will be able to build similar experiences for their users in other domains where users search through vast data troves, including in retail, though in this age of abundant data, chances are developers will find plenty of other enterprise and consumer use cases, too. The piece of software the company open-sourced today is a library Microsoft developed to make better use of all the data it collected and AI models it built for Bing . Only a few years ago, web search was simple. Users typed a few words and waded through pages of results, the company notes in todays announcement. Today, those same users may instead snap a picture on a phone and drop it into a search box or use an intelligent assistant to ask a question without physically touching a device at all. They may also type a question and expect an actual reply, not a list of pages with likely answers. With the Space Partition Tree and Graph (SPTAG) algorithm that is at the core of the open-sourced Python library, Microsoft is able to search through billions of pieces of information in milliseconds. Vector search itself isnt a new idea, of course. What Microsoft has done, though, is apply this concept to working with deep learning models. First, the team takes a pre-trained model and encodes that data into vectors, where every vector represents a word or pixel. Using the new SPTAG library, it then generates a vector index. As queries come in, the deep learning model translates that text or image into a vector and the library finds the most related vectors in that index. With Bing search, the vectorizing effort has extended to over 150 billion pieces of data indexed by the search engine to bring improvement over traditional keyword matching, Microsoft says. These include single words, characters, web page snippets, full queries and other media. Once a user searches, Bing can scan the indexed vectors and deliver the best match. The library is now available under the MIT license and provides all of the tools to build and search these distributed vector indexes. You can find more details about how to get started with using this library — as well as application samples — here.