We found 17 results that contain "speech"
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Speech recognition
https://www.google.com/search?rlz=1C5GCEA_enLK882LK883&ei=5S7rX7WrN8jw9QOh-4KYAQ&q=chemical+tests&oq=chemical+tests&gs_lcp=CgZwc3ktYWIQAzIFCAAQyQMyAggAMgIIADICCAAyAggAMgIIADICCAAyAggAMgIIADICCAA6CAgAEMkDEJECOgUIABCRAjoKCAAQsQMQgwEQQzoICAAQsQMQgwE6BQgAELEDOgIILjoECAAQQzoOCC4QsQMQgwEQxwEQrwE6BwguELEDEEM6BQguELEDOgoIABCxAxDJAxBDOgcIABCxAxBDOggILhDHARCvAToGCAAQFhAeOggIABAWEAoQHlDs-esXWIea7BdgrZvsF2gCcAF4AYABoQKIAeARkgEGMC4xMy4ymAEAoAEBqgEHZ3dzLXdperABAMABAQ&sclient=psy-ab&ved=0ahUKEwj1se7ipfPtAhVIeH0KHaG9ABMQ4dUDCA0&uact=5
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition, or speech to text (STT).
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition, or speech to text (STT).
ASSESSING LEARNING
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NLP tasks
Human language is filled with ambiguities that make it incredibly difficult to write software that accurately determines the intended meaning of text or voice data. Homonyms, homophones, sarcasm, idioms, metaphors, grammar and usage exceptions, variations in sentence structure—these just a few of the irregularities of human language that take humans years to learn, https://byjus.com/biology/flower/ but that programmers must teach natural language-driven applications to recognize and understand accurately from the start, if those applications are going to be useful.
https://byjus.com/biology/flower/ https://byjus.com/biology/flower/
Several NLP tasks break down human text and voice data in ways that help the computer make sense of what it's ingesting. Some of these tasks include the following:
Speech recognition, also called speech-to-text, is the task of reliably converting voice data into text data. Speech recognition is required for any application that follows voice commands or answers spoken questions. What makes speech recognition especially challenging is the way people talk—quickly, slurring words together, with varying emphasis and intonation, in different accents, and often using incorrect grammar.
Part of speech tagging, also called grammatical tagging, is the process of determining the part of speech of a particular word or piece of text based on its use and context. Part of speech identifies ‘make’ as a verb in ‘I can make a paper plane,’ and as a noun in ‘What make of car do you own?’
Word sense disambiguation is the selection of the meaning of a word with multiple meanings through a process of semantic analysis that determine the word that makes the most sense in the given context. For example, word sense disambiguation helps distinguish the meaning of the verb 'make' in ‘make the grade’ (achieve) vs. ‘make a bet’ (place).
Named entity recognition, or NEM, identifies words or phrases as useful entities. NEM identifies ‘Kentucky’ as a location or ‘Fred’ as a man's name.
Co-reference resolution is the task of identifying if and when two words refer to the same entity. The most common example is determining the person or object to which a certain pronoun refers (e.g., ‘she’ = ‘Mary’), but it can also involve identifying a metaphor or an idiom in the text (e.g., an instance in which 'bear' isn't an animal but a large hairy person).
Sentiment analysis attempts to extract subjective qualities—attitudes, emotions, sarcasm, confusion, suspicion—from text.
Natural language generation is sometimes described as the opposite of speech recognition or speech-to-text; it's the task of putting structured information into human language.
https://byjus.com/biology/flower/ https://byjus.com/biology/flower/
Several NLP tasks break down human text and voice data in ways that help the computer make sense of what it's ingesting. Some of these tasks include the following:
Speech recognition, also called speech-to-text, is the task of reliably converting voice data into text data. Speech recognition is required for any application that follows voice commands or answers spoken questions. What makes speech recognition especially challenging is the way people talk—quickly, slurring words together, with varying emphasis and intonation, in different accents, and often using incorrect grammar.
Part of speech tagging, also called grammatical tagging, is the process of determining the part of speech of a particular word or piece of text based on its use and context. Part of speech identifies ‘make’ as a verb in ‘I can make a paper plane,’ and as a noun in ‘What make of car do you own?’
Word sense disambiguation is the selection of the meaning of a word with multiple meanings through a process of semantic analysis that determine the word that makes the most sense in the given context. For example, word sense disambiguation helps distinguish the meaning of the verb 'make' in ‘make the grade’ (achieve) vs. ‘make a bet’ (place).
Named entity recognition, or NEM, identifies words or phrases as useful entities. NEM identifies ‘Kentucky’ as a location or ‘Fred’ as a man's name.
Co-reference resolution is the task of identifying if and when two words refer to the same entity. The most common example is determining the person or object to which a certain pronoun refers (e.g., ‘she’ = ‘Mary’), but it can also involve identifying a metaphor or an idiom in the text (e.g., an instance in which 'bear' isn't an animal but a large hairy person).
Sentiment analysis attempts to extract subjective qualities—attitudes, emotions, sarcasm, confusion, suspicion—from text.
Natural language generation is sometimes described as the opposite of speech recognition or speech-to-text; it's the task of putting structured information into human language.
NAVIGATING CONTEXT
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EXAMPLES OF ARTIFICIAL INTELLIGENCE IN USE TODAY
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans. For example, speech recognition, problem-solving, learning, and planning.
Today, Artificial Intelligence is a very popular subject that is widely discussed in the technology and business circles. Many experts and industry analysts argue that AI or machine learning is the future – but if we look around, we are convinced that it’s not the future – it is the present.
With the advancement in technology, we are already connected to AI in one way or the other – whether it is Siri, Watson, or Alexa. Yes, the technology is in its initial phase and more and more companies are investing resources in machine learning, indicating a robust growth in AI products and apps in the near future.
The following statistics will give you an idea of growth!
– In 2014, more than $300 million was invested in AI startups, showing an increase of 300%, compared to the previous year (Bloomberg)
– By 2018, 6 billion connected devices will proactively ask for support. (Gartner)
– By the end of 2018, “customer digital assistants” will recognize customers by face and voice across channels and partners (Gartner)
Today, Artificial Intelligence is a very popular subject that is widely discussed in the technology and business circles. Many experts and industry analysts argue that AI or machine learning is the future – but if we look around, we are convinced that it’s not the future – it is the present.
With the advancement in technology, we are already connected to AI in one way or the other – whether it is Siri, Watson, or Alexa. Yes, the technology is in its initial phase and more and more companies are investing resources in machine learning, indicating a robust growth in AI products and apps in the near future.
The following statistics will give you an idea of growth!
– In 2014, more than $300 million was invested in AI startups, showing an increase of 300%, compared to the previous year (Bloomberg)
– By 2018, 6 billion connected devices will proactively ask for support. (Gartner)
– By the end of 2018, “customer digital assistants” will recognize customers by face and voice across channels and partners (Gartner)
ASSESSING LEARNING
Posted on: #iteachmsu
Web Content Accessibility Guidelines (WCAG) 2.2
Web Content Accessibility Guidelines (WCAG) 2.2 defines how to make Web content more accessible to people with disabilities. Accessibility involves a wide range of disabilities, including visual, auditory, physical, speech, cognitive, language, learning, and neurological disabilities. Although these guidelines cover a wide range of issues, they are not able to address the needs of people with all types, degrees, and combinations of disability. These guidelines also make Web content more usable by older individuals with changing abilities due to aging and often improve usability for users in general.
WCAG 2.2 is developed through the W3C process in cooperation with individuals and organizations around the world, with a goal of providing a shared standard for Web content accessibility that meets the needs of individuals, organizations, and governments internationally. WCAG 2.2 builds on WCAG 2.0 [WCAG20] and WCAG 2.1 [WCAG21], which in turn built on WCAG 1.0 [WAI-WEBCONTENT] and is designed to apply broadly to different Web technologies now and in the future, and to be testable with a combination of automated testing and human evaluation. For an introduction to WCAG, see the Web Content Accessibility Guidelines (WCAG) Overview.
Significant challenges were encountered in defining additional criteria to address cognitive, language, and learning disabilities, including a short timeline for development as well as challenges in reaching consensus on testability, implementability, and international considerations of proposals. Work will carry on in this area in future versions of WCAG. We encourage authors to refer to our supplemental guidance on improving inclusion for people with disabilities, including learning and cognitive disabilities, people with low-vision, and more.
Web accessibility depends not only on accessible content but also on accessible Web browsers and other user agents. Authoring tools also have an important role in Web accessibility. For an overview of how these components of Web development and interaction work together, see:
Essential Components of Web Accessibility
User Agent Accessibility Guidelines (UAAG) Overview
Authoring Tool Accessibility Guidelines (ATAG) Overview
Where this document refers to WCAG 2 it is intended to mean any and all versions of WCAG that start with 2.
WCAG 2.2 is developed through the W3C process in cooperation with individuals and organizations around the world, with a goal of providing a shared standard for Web content accessibility that meets the needs of individuals, organizations, and governments internationally. WCAG 2.2 builds on WCAG 2.0 [WCAG20] and WCAG 2.1 [WCAG21], which in turn built on WCAG 1.0 [WAI-WEBCONTENT] and is designed to apply broadly to different Web technologies now and in the future, and to be testable with a combination of automated testing and human evaluation. For an introduction to WCAG, see the Web Content Accessibility Guidelines (WCAG) Overview.
Significant challenges were encountered in defining additional criteria to address cognitive, language, and learning disabilities, including a short timeline for development as well as challenges in reaching consensus on testability, implementability, and international considerations of proposals. Work will carry on in this area in future versions of WCAG. We encourage authors to refer to our supplemental guidance on improving inclusion for people with disabilities, including learning and cognitive disabilities, people with low-vision, and more.
Web accessibility depends not only on accessible content but also on accessible Web browsers and other user agents. Authoring tools also have an important role in Web accessibility. For an overview of how these components of Web development and interaction work together, see:
Essential Components of Web Accessibility
User Agent Accessibility Guidelines (UAAG) Overview
Authoring Tool Accessibility Guidelines (ATAG) Overview
Where this document refers to WCAG 2 it is intended to mean any and all versions of WCAG that start with 2.
NAVIGATING CONTEXT
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Artificial Intelligence
The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
Posted on: What are the 12 Agi...
The Agile Alliance defines 12 lightness principles for those who need to attain agility: Our highes
Edited: New: The Agile Alliance defines 12 lightness principles for those who need to attain agility:
Our highest priority is to satisfy the client through early and continuous delivery of valuable computer software.
Welcome dynamic necessities, even late in development. Agile Processes harness modification for the customer’s competitive advantage.
Deliver operating computer software often, from a pair of weeks to a couple of months, with a preference to the shorter timescale.
Business individuals and developers should work along daily throughout the project.
The build comes around actuated people. offer them the setting and support they have, and trust them to urge the task done.
the foremost economical and effective methodology of conveyancing info to and among a development team is face-to-face speech.
Working with computer software is the primary life of progress.
Agile processes promote property development. The sponsors, developers, and users will be able to maintain a relentless pace indefinitely.
Continuous attention to technical excellence and smart style enhances nimbleness.
Simplicity—the art of maximizing the number of work not done—is essential.
the most effective architectures, necessities, and styles emerge from self–organizing groups.
At regular intervals, the team reflects on a way to become simpler, then tunes and adjusts its behavior consequently.
Our highest priority is to satisfy the client through early and continuous delivery of valuable computer software.
Welcome dynamic necessities, even late in development. Agile Processes harness modification for the customer’s competitive advantage.
Deliver operating computer software often, from a pair of weeks to a couple of months, with a preference to the shorter timescale.
Business individuals and developers should work along daily throughout the project.
The build comes around actuated people. offer them the setting and support they have, and trust them to urge the task done.
the foremost economical and effective methodology of conveyancing info to and among a development team is face-to-face speech.
Working with computer software is the primary life of progress.
Agile processes promote property development. The sponsors, developers, and users will be able to maintain a relentless pace indefinitely.
Continuous attention to technical excellence and smart style enhances nimbleness.
Simplicity—the art of maximizing the number of work not done—is essential.
the most effective architectures, necessities, and styles emerge from self–organizing groups.
At regular intervals, the team reflects on a way to become simpler, then tunes and adjusts its behavior consequently.
DISCIPLINARY CONTENT
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Speech perception
Speech perception is the process by which the sounds of language are heard, interpreted, and understood. The study of speech perception is closely linked to the fields of phonology and phonetics in linguistics and cognitive psychology and perception in psychology. In the speech, perception seeks to understand how human listeners recognize speech sounds and use this information to understand spoken language. Speech perception research has applications in building computer systems that can recognize speech, in improving speech recognition for hearing- and language-impaired listeners, and in foreign-language teaching.
The process of perceiving speech begins at the level of the sound signal and the process of audition. (For a complete description of the process of the audition, After processing the initial auditory signal, speech sounds are further processed to extract acoustic cues and phonetic information. This speech information can then be used for higher-level language processes, such as word recognition.
Link URL : https://iteach-testing.venturit.org/browse/articles
The process of perceiving speech begins at the level of the sound signal and the process of audition. (For a complete description of the process of the audition, After processing the initial auditory signal, speech sounds are further processed to extract acoustic cues and phonetic information. This speech information can then be used for higher-level language processes, such as word recognition.
Link URL : https://iteach-testing.venturit.org/browse/articles
Authored by: Rupali
Posted on: #iteachmsu
AI can turn spoken language into photorealistic sign language videos Read more: https://www.newscie
An AI that can produce photorealistic videos of sign language interpreters from speech could improve accessibility by removing the need for humans.
Ben Saunders at the University of Surrey, UK, and his colleagues used a neural network that converts spoken language into sign language. The system, called SignGAN, then maps these signs on to a 3D model of the human skeleton.
The team also trained the AI on videos of real sign language interpreters, teaching it how to create a photorealistic video of anyone signing based off an image of …
Read more: https://www.newscientist.com/article/2261113-ai-can-turn-spoken-language-into-photorealistic-sign-language-videos/#ixzz6g1KMybts
Ben Saunders at the University of Surrey, UK, and his colleagues used a neural network that converts spoken language into sign language. The system, called SignGAN, then maps these signs on to a 3D model of the human skeleton.
The team also trained the AI on videos of real sign language interpreters, teaching it how to create a photorealistic video of anyone signing based off an image of …
Read more: https://www.newscientist.com/article/2261113-ai-can-turn-spoken-language-into-photorealistic-sign-language-videos/#ixzz6g1KMybts
Posted by: Greg Thomsan
Pedagogical Design
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Human computer interaction (HCI)
Introduction
Humans interact with computers in any way the interface between humans and computers is crucial to facilitate this interaction. Desktop applications, internet browsers, handheld computers, ERP, and computer kiosks make use of the prevalent graphical user interfaces (GUI) of today.
Voice user interfaces (VUI) are used for speech recognition and synthesizing systems, and the emerging multi-modal and Graphical user interfaces (GUI) allow humans to engage with embodied character agents in a way that cannot be achieved with other interface paradigms. The growth in the human-computer interaction field has been in the quality of interaction, and indifferent branching in its history. Instead of designing regular interfaces, the different research branches have had a different focus on the concepts of multimodality rather than unimodality, intelligent adaptive interfaces rather than command/action based ones, and finally active rather than passive interfaces.
An important facet of HCI is user satisfaction (or simply End-User Computing Satisfaction). "Because human-computer interaction studies a human and a machine in communication, it draws from supporting knowledge on both the machine and the human side. On the machine side, techniques in computer graphics, operating systems, programming languages, and development environments are relevant.
Humans interact with computers in any way the interface between humans and computers is crucial to facilitate this interaction. Desktop applications, internet browsers, handheld computers, ERP, and computer kiosks make use of the prevalent graphical user interfaces (GUI) of today.
Voice user interfaces (VUI) are used for speech recognition and synthesizing systems, and the emerging multi-modal and Graphical user interfaces (GUI) allow humans to engage with embodied character agents in a way that cannot be achieved with other interface paradigms. The growth in the human-computer interaction field has been in the quality of interaction, and indifferent branching in its history. Instead of designing regular interfaces, the different research branches have had a different focus on the concepts of multimodality rather than unimodality, intelligent adaptive interfaces rather than command/action based ones, and finally active rather than passive interfaces.
An important facet of HCI is user satisfaction (or simply End-User Computing Satisfaction). "Because human-computer interaction studies a human and a machine in communication, it draws from supporting knowledge on both the machine and the human side. On the machine side, techniques in computer graphics, operating systems, programming languages, and development environments are relevant.
Authored by: Rupali
Assessing Learning
Posted on: #iteachmsu
What is natural language processing?
Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can.
NLP combines computational linguistics—rule-based modeling of human language—with statistical, machine learning, and deep learning models. Together, these technologies enable computers to process human language in the form of text or voice data and to ‘understand’ its full meaning, complete with the speaker or writer’s intent and sentiment. https://byjus.com/biology/flower/
NLP drives computer programs that translate text from one language to another, respond to spoken commands, and summarize large volumes of text rapidly—even in real time. There’s a good chance you’ve interacted with NLP in the form of voice-operated GPS systems, digital assistants, speech-to-text dictation software, customer service chatbots, and other consumer conveniences. But NLP also plays a growing role in enterprise solutions that help streamline business operations, increase employee productivity, and simplify mission-critical business processehttps://byjus.com/biology/flower/
NLP combines computational linguistics—rule-based modeling of human language—with statistical, machine learning, and deep learning models. Together, these technologies enable computers to process human language in the form of text or voice data and to ‘understand’ its full meaning, complete with the speaker or writer’s intent and sentiment. https://byjus.com/biology/flower/
NLP drives computer programs that translate text from one language to another, respond to spoken commands, and summarize large volumes of text rapidly—even in real time. There’s a good chance you’ve interacted with NLP in the form of voice-operated GPS systems, digital assistants, speech-to-text dictation software, customer service chatbots, and other consumer conveniences. But NLP also plays a growing role in enterprise solutions that help streamline business operations, increase employee productivity, and simplify mission-critical business processehttps://byjus.com/biology/flower/
Authored by: Pranjali
Disciplinary Content
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ADHD and School interventions
Culture of Collaboration
Number of Directions: Give a minimal number of directions or steps at a time.If necessary, have students repeat the directions to the teacher or a peer partner.
Form of Directions: Provide written directions or steps, or a visual model of acompleted project. Teach students how to refer to these items as reminders ofprocess steps to complete tasks. This strategy is particularly helpful for long-termprojects.
Written AssignmentsMany students with ADHD have particular challenges with written work due to finemotorskills difficulties, motor planning issues, and difficulty alternating their attentionfrom a book to their written responses.
Students with ADHD may also need assistance breaking a larger task or project into smaller, more workable units.
The following strategies can be used to address these needs.
Deconstructing Tasks: Break tasks into smaller units.o Limit amount of work per page.o Cover up part of the work on a page.o Allow extra time for completing tasks.o Provide work breaks.o Allow student to use a computer to type or to use speech-to-text software.o Reduce the length of written assignments.
ias
Limit amount of work per page.
Cover up part of the work on a page.
Allow extra time for completing tasks.
Number of Directions: Give a minimal number of directions or steps at a time.If necessary, have students repeat the directions to the teacher or a peer partner.
Form of Directions: Provide written directions or steps, or a visual model of acompleted project. Teach students how to refer to these items as reminders ofprocess steps to complete tasks. This strategy is particularly helpful for long-termprojects.
Written AssignmentsMany students with ADHD have particular challenges with written work due to finemotorskills difficulties, motor planning issues, and difficulty alternating their attentionfrom a book to their written responses.
Students with ADHD may also need assistance breaking a larger task or project into smaller, more workable units.
The following strategies can be used to address these needs.
Deconstructing Tasks: Break tasks into smaller units.o Limit amount of work per page.o Cover up part of the work on a page.o Allow extra time for completing tasks.o Provide work breaks.o Allow student to use a computer to type or to use speech-to-text software.o Reduce the length of written assignments.
ias
Limit amount of work per page.
Cover up part of the work on a page.
Allow extra time for completing tasks.
Authored by: Chathu
Disciplinary Content
Posted on: #iteachmsu
Web Content Accessibility Guidelines (WCAG) 2.2
Web Content Accessibility Guidelines (WCAG) 2.2 defines how to make Web content more accessible to people with disabilities. Accessibility involves a wide range of disabilities, including visual, auditory, physical, speech, cognitive, language, learning, and neurological disabilities. Although these guidelines cover a wide range of issues, they are not able to address the needs of people with all types, degrees, and combinations of disability. These guidelines also make Web content more usable by older individuals with changing abilities due to aging and often improve usability for users in general.
WCAG 2.2 is developed through the W3C process in cooperation with individuals and organizations around the world, with a goal of providing a shared standard for Web content accessibility that meets the needs of individuals, organizations, and governments internationally. WCAG 2.2 builds on WCAG 2.0 [WCAG20] and WCAG 2.1 [WCAG21], which in turn built on WCAG 1.0 [WAI-WEBCONTENT] and is designed to apply broadly to different Web technologies now and in the future, and to be testable with a combination of automated testing and human evaluation. For an introduction to WCAG, see the Web Content Accessibility Guidelines (WCAG) Overview.
Significant challenges were encountered in defining additional criteria to address cognitive, language, and learning disabilities, including a short timeline for development as well as challenges in reaching consensus on testability, implementability, and international considerations of proposals. Work will carry on in this area in future versions of WCAG. We encourage authors to refer to our supplemental guidance on improving inclusion for people with disabilities, including learning and cognitive disabilities, people with low-vision, and more.
Web accessibility depends not only on accessible content but also on accessible Web browsers and other user agents. Authoring tools also have an important role in Web accessibility. For an overview of how these components of Web development and interaction work together, see:
Essential Components of Web Accessibility
User Agent Accessibility Guidelines (UAAG) Overview
Authoring Tool Accessibility Guidelines (ATAG) Overview
Where this document refers to WCAG 2 it is intended to mean any and all versions of WCAG that start with 2.
WCAG 2.2 is developed through the W3C process in cooperation with individuals and organizations around the world, with a goal of providing a shared standard for Web content accessibility that meets the needs of individuals, organizations, and governments internationally. WCAG 2.2 builds on WCAG 2.0 [WCAG20] and WCAG 2.1 [WCAG21], which in turn built on WCAG 1.0 [WAI-WEBCONTENT] and is designed to apply broadly to different Web technologies now and in the future, and to be testable with a combination of automated testing and human evaluation. For an introduction to WCAG, see the Web Content Accessibility Guidelines (WCAG) Overview.
Significant challenges were encountered in defining additional criteria to address cognitive, language, and learning disabilities, including a short timeline for development as well as challenges in reaching consensus on testability, implementability, and international considerations of proposals. Work will carry on in this area in future versions of WCAG. We encourage authors to refer to our supplemental guidance on improving inclusion for people with disabilities, including learning and cognitive disabilities, people with low-vision, and more.
Web accessibility depends not only on accessible content but also on accessible Web browsers and other user agents. Authoring tools also have an important role in Web accessibility. For an overview of how these components of Web development and interaction work together, see:
Essential Components of Web Accessibility
User Agent Accessibility Guidelines (UAAG) Overview
Authoring Tool Accessibility Guidelines (ATAG) Overview
Where this document refers to WCAG 2 it is intended to mean any and all versions of WCAG that start with 2.
Authored by: Vijaya
Disciplinary Content
Posted on: What are the 12 Agi...
The Agile Alliance defines 12 lightness principles for those who need to attain agility: Our highes
Edited: The Agile Alliance defines 12 lightness principles for those who need to attain agility:
Our highest priority is to satisfy the client through early and continuous delivery of valuable computer software.
Welcome dynamic necessities, even late in development. Agile Processes harness modification for the customer’s competitive advantage.
Deliver operating computer software often, from a pair of weeks to a couple of months, with a preference to the shorter timescale.
Business individuals and developers should work along daily throughout the project.
The build comes around actuated people. offer them the setting and support they have, and trust them to urge the task done.
the foremost economical and effective methodology of conveyancing info to and among a development team is face-to-face speech.
Working with computer software is the primary life of progress.
Agile processes promote property development. The sponsors, developers, and users will be able to maintain a relentless pace indefinitely.
Continuous attention to technical excellence and smart style enhances nimbleness.
Simplicity—the art of maximizing the number of work not done—is essential.
the most effective architectures, necessities, and styles emerge from self–organizing groups.
At regular intervals, the team reflects on a way to become simpler, then tunes and adjusts its behavior consequently.
Our highest priority is to satisfy the client through early and continuous delivery of valuable computer software.
Welcome dynamic necessities, even late in development. Agile Processes harness modification for the customer’s competitive advantage.
Deliver operating computer software often, from a pair of weeks to a couple of months, with a preference to the shorter timescale.
Business individuals and developers should work along daily throughout the project.
The build comes around actuated people. offer them the setting and support they have, and trust them to urge the task done.
the foremost economical and effective methodology of conveyancing info to and among a development team is face-to-face speech.
Working with computer software is the primary life of progress.
Agile processes promote property development. The sponsors, developers, and users will be able to maintain a relentless pace indefinitely.
Continuous attention to technical excellence and smart style enhances nimbleness.
Simplicity—the art of maximizing the number of work not done—is essential.
the most effective architectures, necessities, and styles emerge from self–organizing groups.
At regular intervals, the team reflects on a way to become simpler, then tunes and adjusts its behavior consequently.
Posted by: Chathuri Super admin..
Disciplinary Content
Posted on: #iteachmsu
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, speech recognition, problem-solving, learning, and planning.
Posted by: Rupali Jagtap
Assessing Learning
Posted on: What are the 12 Agi...
Edited: The Agile Alliance defines 12 lightness principles for those who need to attain agility:
Our highest priority is to satisfy the client through early and continuous delivery of valuable computer software.
Welcome dynamic necessities, even late in development. Agile Processes harness modification for the customer’s competitive advantage.
Deliver operating computer software often, from a pair of weeks to a couple of months, with a preference to the shorter timescale.
Business individuals and developers should work along daily throughout the project.
The build comes around actuated people. offer them the setting and support they have, and trust them to urge the task done.
the foremost economical and effective methodology of conveyancing info to and among a development team is face-to-face speech.
Working with computer software is the primary life of progress.
Agile processes promote property development. The sponsors, developers, and users will be able to maintain a relentless pace indefinitely.
Continuous attention to technical excellence and smart style enhances nimbleness.
Simplicity—the art of maximizing the number of work not done—is essential.
the most effective architectures, necessities, and styles emerge from self–organizing groups.
At regular intervals, the team reflects on a way to become simpler, then tunes and adjusts its behavior consequently.
Our highest priority is to satisfy the client through early and continuous delivery of valuable computer software.
Welcome dynamic necessities, even late in development. Agile Processes harness modification for the customer’s competitive advantage.
Deliver operating computer software often, from a pair of weeks to a couple of months, with a preference to the shorter timescale.
Business individuals and developers should work along daily throughout the project.
The build comes around actuated people. offer them the setting and support they have, and trust them to urge the task done.
the foremost economical and effective methodology of conveyancing info to and among a development team is face-to-face speech.
Working with computer software is the primary life of progress.
Agile processes promote property development. The sponsors, developers, and users will be able to maintain a relentless pace indefinitely.
Continuous attention to technical excellence and smart style enhances nimbleness.
Simplicity—the art of maximizing the number of work not done—is essential.
the most effective architectures, necessities, and styles emerge from self–organizing groups.
At regular intervals, the team reflects on a way to become simpler, then tunes and adjusts its behavior consequently.
Posted by: Chathuri Super admin..
Assessing Learning
Posted on: #iteachmsu
Edited: The Agile Alliance defines 12 lightness principles for those who need to attain agility:
Our highest priority is to satisfy the client through early and continuous delivery of valuable computer software.
Welcome dynamic necessities, even late in development. Agile Processes harness modification for the customer’s competitive advantage.
Deliver operating computer software often, from a pair of weeks to a couple of months, with a preference to the shorter timescale.
Business individuals and developers should work along daily throughout the project.
The build comes around actuated people. offer them the setting and support they have, and trust them to urge the task done.
the foremost economical and effective methodology of conveyancing info to and among a development team is face-to-face speech.
Working with computer software is the primary life of progress.
Agile processes promote property development. The sponsors, developers, and users will be able to maintain a relentless pace indefinitely.
Continuous attention to technical excellence and smart style enhances nimbleness.
Simplicity—the art of maximizing the number of work not done—is essential.
the most effective architectures, necessities, and styles emerge from self–organizing groups.
At regular intervals, the team reflects on a way to become simpler, then tunes and adjusts its behavior consequently.
Our highest priority is to satisfy the client through early and continuous delivery of valuable computer software.
Welcome dynamic necessities, even late in development. Agile Processes harness modification for the customer’s competitive advantage.
Deliver operating computer software often, from a pair of weeks to a couple of months, with a preference to the shorter timescale.
Business individuals and developers should work along daily throughout the project.
The build comes around actuated people. offer them the setting and support they have, and trust them to urge the task done.
the foremost economical and effective methodology of conveyancing info to and among a development team is face-to-face speech.
Working with computer software is the primary life of progress.
Agile processes promote property development. The sponsors, developers, and users will be able to maintain a relentless pace indefinitely.
Continuous attention to technical excellence and smart style enhances nimbleness.
Simplicity—the art of maximizing the number of work not done—is essential.
the most effective architectures, necessities, and styles emerge from self–organizing groups.
At regular intervals, the team reflects on a way to become simpler, then tunes and adjusts its behavior consequently.
Posted by: Chathuri Super admin..
Justice and Belonging
Host: MSU Libraries
Latine Voces Uncensored: Symposium on Latine Narratives
The digital age has brought us virtually (pun, intended) limitless access to information in the digital age. Despite this access, Latine communities continue to confront the challenges of rampant misinformation, censorship and misrepresentation—influencing how Latines are depicted in news coverage to popular culture to domestic and international policies that directly impact (and harm) our communities. Accurate Latine narratives and exposure to our histories are as important as ever. In this timely and important symposium, we address representation and free speech through the lens of Puerto Rican storytelling.
Hosted by Latino Spartans & MSU Chicanx/Latinx Association (ChiLA).
Note: The first half of this event will take place at the Multicultural Center. The Library portion will begin at 1:30 in the Green Room.
Please register by clicking here
Navigating Context