“Deep learning”, a seminal review of the potential of AI technologies that was published in Nature in 2015, has had an increase in citations from 16,750 in 2019 to 27,375 in 2020.
It has made a huge leap from 25,256 citations in 2019 to 49,301 citations in 2020. The most highly-cited paper of all, "Deep Residual Learning for Image Recognition", published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, was written by a team from Microsoft in 2016. The 2020 Google Scholar Metrics ranking, which is freely accessible online, tracks papers published between 20, and includes citations from all articles that were indexed in Google Scholar as of June 2020. Google Scholar is the largest database in the world of its kind, tracking citation information for almost 400 million academic papers and other scholarly literature. In April, the European Commission announced that it is increasing its annual investments in AI by 70% under the research and innovation programme, Horizon 2020. In February, the United States government announced its commitment to double research and development spending in non-defense AI and quantum information science by 2022. The high citations numbers for AI-related papers mirror the increasing importance governments around the world are placing on the technologies they underpin. Many of the most highly cited papers in this ranking are centred on object detection and image recognition – research that is crucial for technologies such as self-driving cars and surveillance. Artificial intelligence (AI) research dominates once again, accumulating huge numbers of citations over the past year.Ĭomputer vision research in particular attracts a high number citations over a short period of time. Google Scholar has released its annual ranking of most highly cited publications. In comments on a post from August 2012 about the Expression suite, a forum moderator said "We'll share new info about Expression Studio v.Chinese Go player Ke Jie (L) attends a press conference after his second match against Google's artificial intelligence programme AlphaGo on day two of Future of Go Summit in Wuzhen on in Jiangxi, Zhejiang Province of China. The move away from the Blend name and the Expression Studio suite seems somewhat sudden. " In support of these industry trends Microsoft is consolidating our lead design and development offerings - Expression and Visual Studio - to offer all of our customers a unified solution that brings together the best of Web and modern development patterns." "Microsoft is committed to providing best-in-class tools for building modern applications," read an explainer on the Microsoft Expression page.
#Microsoft expression web 4 review 2015 update
I'm thinking this means Blend will go final by the time of Update 2 - which should be out some time in the first half of 2013, if Microsoft continues with its current Visual Studio update pace. (The preview is set to expire in July 2013.) According to Microsoft's Expression site, these capabilities will be released in Visual Studio 2012 Update 2.
#Microsoft expression web 4 review 2015 windows
In Expression Blend, Windows Presentation Foundation (WPF), Silverlight and SketchFlow support are all currently in preview. Microsoft has been touting Expression Blend as a useful tool for building Windows Store and Windows Phone apps. A preview build of Expression Blend 5 was bundled in with Visual Studio 2012.
Expression Web was codenamed Quartz, Expression Blend, Sparkle and Expression Design was known as Acrylic. Microsoft first released the Expression tool family, targeted at designers rather than developers, with much fanfare back in the mid-2000s.
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