Microsoft's Windows was the dominant desktop operating system (OS) worldwide as of March 2025, with a market share of around ** percent. Apple’s Mac operating system has gained market share over the years, growing to command around a fifth of the market. Linux and Google's Chrome OS have retained small but stable market shares in recent years. Different versions of Microsoft Windows From its initial release in 1985, Microsoft Windows has gone through endless mutations. Notable versions include Windows 95, Windows XP, and Windows 7. Windows 11 is the newest addition to the family, being able to run on PCs, tablets and embedded devices. In 2022, approximately ** million PCs were shipped with Windows operating systems installed. Apple’s Mac operating system With an equally long history, Apple’s Mac operating system (macOS, previously Mac OS X and OS X) has also evolved through numerous releases. MacOS Ventura is the nineteenth release of macOS. A older version of macOS, Catalina, is currently the most popular macOS, now run on **** percent of Apple computers as of January 2023. macOS runs on Apple’s Mac computers, including the MacBook, which is Apple’s laptop PC product including the MacBook Pro and MacBook Air, and the iMac – Apple’s desktop computer.
Microsoft 365 is used by over * million companies worldwide, with over *** million customers in the United States alone using the office suite software. Office 365 is the brand name previously used by Microsoft for a group of software applications providing productivity related services to its subscribers. Office 365 applications include Outlook, OneDrive, Word, Excel, PowerPoint, OneNote, SharePoint and Microsoft Teams. The consumer and small business plans of Office 365 were renamed as Microsoft 365 on 21 April, 2020. Global office suite market share An office suite is a collection of software applications (word processing, spreadsheets, database etc.) designed to be used for tasks within an organization. Worldwide market share of office suite technologies is split between Google’s G Suite and Microsoft’s Office 365, with G Suite controlling around ** percent of the global market and Office 365 holding around ** percent. This trend is similar across most worldwide regions.
The number of daily active users of Microsoft Teams has stayed the same in the past year, around *** million. Due to the impact of the coronavirus (COVID-19) outbreak and the growing practices of social distancing and working from home, Microsoft has seen dramatic increases in the daily use of their communication and collaboration platform within a short period of time. Microsoft Teams is part of Microsoft 365, a set of collaboration apps and services launched in *********. Increased data consumption from “staying at home” The average daily in-home data usage in the United States has increased significantly during the coronavirus (COVID-19) outbreak in **********. Compared to the same amount of days in **********, the daily average in-home data usage increased by a total of *** gigabytes in **********, a roughly ** percent increase. Data consumption from the usage of gaming consoles and smartphones increased the most, although the increases can be observed across nearly all device categories. Social media platforms and video and conference all platforms are the technology services that are used the most during the outbreak in the U.S.
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The ORBIT (Object Recognition for Blind Image Training) -India Dataset is a collection of 105,243 images of 76 commonly used objects, collected by 12 individuals in India who are blind or have low vision. This dataset is an "Indian subset" of the original ORBIT dataset [1, 2], which was collected in the UK and Canada. In contrast to the ORBIT dataset, which was created in a Global North, Western, and English-speaking context, the ORBIT-India dataset features images taken in a low-resource, non-English-speaking, Global South context, a home to 90% of the world’s population of people with blindness. Since it is easier for blind or low-vision individuals to gather high-quality data by recording videos, this dataset, like the ORBIT dataset, contains images (each sized 224x224) derived from 587 videos. These videos were taken by our data collectors from various parts of India using the Find My Things [3] Android app. Each data collector was asked to record eight videos of at least 10 objects of their choice.
Collected between July and November 2023, this dataset represents a set of objects commonly used by people who are blind or have low vision in India, including earphones, talking watches, toothbrushes, and typical Indian household items like a belan (rolling pin), and a steel glass. These videos were taken in various settings of the data collectors' homes and workspaces using the Find My Things Android app.
The image dataset is stored in the ‘Dataset’ folder, organized by folders assigned to each data collector (P1, P2, ...P12) who collected them. Each collector's folder includes sub-folders named with the object labels as provided by our data collectors. Within each object folder, there are two subfolders: ‘clean’ for images taken on clean surfaces and ‘clutter’ for images taken in cluttered environments where the objects are typically found. The annotations are saved inside a ‘Annotations’ folder containing a JSON file per video (e.g., P1--coffee mug--clean--231220_084852_coffee mug_224.json) that contains keys corresponding to all frames/images in that video (e.g., "P1--coffee mug--clean--231220_084852_coffee mug_224--000001.jpeg": {"object_not_present_issue": false, "pii_present_issue": false}, "P1--coffee mug--clean--231220_084852_coffee mug_224--000002.jpeg": {"object_not_present_issue": false, "pii_present_issue": false}, ...). The ‘object_not_present_issue’ key is True if the object is not present in the image, and the ‘pii_present_issue’ key is True, if there is a personally identifiable information (PII) present in the image. Note, all PII present in the images has been blurred to protect the identity and privacy of our data collectors. This dataset version was created by cropping images originally sized at 1080 × 1920; therefore, an unscaled version of the dataset will follow soon.
This project was funded by the Engineering and Physical Sciences Research Council (EPSRC) Industrial ICASE Award with Microsoft Research UK Ltd. as the Industrial Project Partner. We would like to acknowledge and express our gratitude to our data collectors for their efforts and time invested in carefully collecting videos to build this dataset for their community. The dataset is designed for developing few-shot learning algorithms, aiming to support researchers and developers in advancing object-recognition systems. We are excited to share this dataset and would love to hear from you if and how you use this dataset. Please feel free to reach out if you have any questions, comments or suggestions.
REFERENCES:
Daniela Massiceti, Lida Theodorou, Luisa Zintgraf, Matthew Tobias Harris, Simone Stumpf, Cecily Morrison, Edward Cutrell, and Katja Hofmann. 2021. ORBIT: A real-world few-shot dataset for teachable object recognition collected from people who are blind or low vision. DOI: https://doi.org/10.25383/city.14294597
microsoft/ORBIT-Dataset. https://github.com/microsoft/ORBIT-Dataset
Linda Yilin Wen, Cecily Morrison, Martin Grayson, Rita Faia Marques, Daniela Massiceti, Camilla Longden, and Edward Cutrell. 2024. Find My Things: Personalized Accessibility through Teachable AI for People who are Blind or Low Vision. In Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA '24). Association for Computing Machinery, New York, NY, USA, Article 403, 1–6. https://doi.org/10.1145/3613905.3648641
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Dataset Card for Cats Vs. Dogs
Dataset Summary
A large set of images of cats and dogs. There are 1738 corrupted images that are dropped. This dataset is part of a now-closed Kaggle competition and represents a subset of the so-called Asirra dataset. From the competition page:
The Asirra data set Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/cats_vs_dogs.
Parallel corpus made from Parents Teacher Conference Letters (ptcl) templates from Microsoft Translate site: https://www.microsoft.com/en-us/translator/education/parent-teacher-conference-letters/
This kernel describes how the corpus was created: https://www.kaggle.com/alvations/how-was-the-corpus-created
The ms-edu-letters
contains the original .docx
files.
The ms-ptcl-corpus
contains the .txt
files with 21 lines each, as much as possible, each language's line numbers should be as parallel to each other. Perhaps Persian, Welsch and Yucatec-Maya maybe not be parallel because the python-docx
read didn't read 21 lines for these .docx files.
All credits and rights to the corpus goes to Microsoft Translate.
Banner and thumbnail image from NeONBRAND on Unsplash
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License information was derived automatically
AbstractPresent day global business environment presents numerous security threats and compliance challenges. To protect against data thefts and frauds we require security solutions that aretransparent by design. The present study deals with Transparent Data Encryption which is a technology used to solve the problems of security of data. Transparent Data Encryption means encryptingdatabases on hard disk and on any backup media. Transparent Data Encryption provides transparent, standards-based security that protects data on the network, on disk and on backup media.It is easy and effective protection of stored data by transparently encrypting data. Transparent Data Encryption can be used to provide high levels of security to columns, table and tablespacethat is database files stored on hard drives or floppy disks or CD’s, and other information that requires protection. It is the technology used by Microsoft SQL Server 2008, Oracle 10g and 11g to encrypt database contents. The term encryption means thepiece of information encoded in such a way that it can only be decoded read and understood by people for whom the information is intended. The study deals with ways to create Master Key, creation of certificate protected by the master key, creation ofdatabase master key and protection by the certificate and ways to set the database to use encryption in Microsoft SQL Server 2008,Oracle 10g and 11g.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
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With a market capitalization of 3.12 trillion U.S. dollars as of May 2024, Microsoft was the world’s largest company that year. Rounding out the top five were some of the world’s most recognizable brands: Apple, NVIDIA, Google’s parent company Alphabet, and Amazon. Saudi Aramco led the ranking of the world's most profitable companies in 2023, with a pre-tax income of nearly 250 billion U.S. dollars. How are market value and market capitalization determined? Market value and market capitalization are two terms frequently used – and confused - when discussing the profitability and viability of companies. Strictly speaking, market capitalization (or market cap) is the worth of a company based on the total value of all their shares; an important metric when determining the comparative value of companies for trading opportunities. Accordingly, many stock exchanges such as the New York or London Stock Exchange release market capitalization data on their listed companies. On the other hand, market value technically refers to what a company is worth in a much broader context. It is determined by multiple factors, including profitability, corporate debt, and the market environment as a whole. In this sense it aims to estimate the overall value of a company, with share price only being one element. Market value is therefore useful for determining whether a company’s shares are over- or undervalued, and in arriving at a price if the company is to be sold. Such valuations are generally made on a case-by-case basis though, and not regularly reported. For this reason, market capitalization is often reported as market value. What are the top companies in the world? The answer to this question depends on the metric used. Although the largest company by market capitalization, Microsoft's global revenue did not manage to crack the top 20 companies. Rather, American multinational retailer Walmart was ranked as the largest company in the world by revenue. Walmart also had the highest number of employees in the world.
In the fourth quarter of 2024, the most popular vendor in the cloud infrastructure services market, Amazon Web Services (AWS), controlled ** percent of the entire market. Microsoft Azure takes second place with ** percent market share, followed by Google Cloud with ** percent market share. Together, these three cloud vendors account for ** percent of total spend in the fourth quarter of 2024. Organizations use cloud services from these vendors for machine learning, data analytics, cloud native development, application migration, and other services. AWS Services Amazon Web Services is used by many organizations because it offers a wide variety of services and products to its customers that improve business agility while being secure and reliable. One of AWS’s most used services is Amazon EC2, which lets customers create virtual machines for their strategic projects while spending less time on maintaining servers. Another important service is Amazon Simple Storage Service (S3), which offers a secure file storage service. In addition, Amazon also offers security, website infrastructure management, and identity and access management solutions. Cloud infrastructure services Vendors offering cloud services to a global customer base do so through different types of cloud computing, which include infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Further, there are different cloud computing deployment models available for customers, namely private cloud and public cloud, as well as community cloud and hybrid cloud. A cloud deployment model is defined based on the location where the deployment resides, and who has access to and control over the infrastructure.
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Microsoft's Windows was the dominant desktop operating system (OS) worldwide as of March 2025, with a market share of around ** percent. Apple’s Mac operating system has gained market share over the years, growing to command around a fifth of the market. Linux and Google's Chrome OS have retained small but stable market shares in recent years. Different versions of Microsoft Windows From its initial release in 1985, Microsoft Windows has gone through endless mutations. Notable versions include Windows 95, Windows XP, and Windows 7. Windows 11 is the newest addition to the family, being able to run on PCs, tablets and embedded devices. In 2022, approximately ** million PCs were shipped with Windows operating systems installed. Apple’s Mac operating system With an equally long history, Apple’s Mac operating system (macOS, previously Mac OS X and OS X) has also evolved through numerous releases. MacOS Ventura is the nineteenth release of macOS. A older version of macOS, Catalina, is currently the most popular macOS, now run on **** percent of Apple computers as of January 2023. macOS runs on Apple’s Mac computers, including the MacBook, which is Apple’s laptop PC product including the MacBook Pro and MacBook Air, and the iMac – Apple’s desktop computer.