Month: August 2024
Facing issue for SPFx web page after web part deployment for Sharepoint Online
Getting below issues,
VM401:5 Refused to execute script from ‘https://test.sharepoint.com/sites/DOL-c-US-TSSkillsAssessment/Client…c252a/TestSolutionWebPartStrings_en-us_eb42a51….js’ because its MIME type (‘text/html’) is not executable, and strict MIME type checking is enabled.
Uncaught (in promise) Error: Script error for “bc6bad4d-98f8-4d0d-8f78-4abb4bd2dfd1_0.0.1/TestSolutionWebPartStrings” https://requirejs.org/docs/errors.html#scripterror at makeError (eval at e (sp-pages-assembly_en-us_257eb6e03669104b2d395d767ec024e6.js:199:10587), :5:1843) at HTMLScriptElement.onScriptError (eval at e (sp-pages-assembly_en-us_257eb6e03669104b2d395d767ec024e6.js:199:10587), :5:16979)
Getting above error when I deployed webpart to page and when trying to access the page, it is throwing above errors. Same site is working fine with organization VPN network but without VPN it is not working. Aprt from this site content & list are working fine, I can able to access it without VPN. Only page with deployed webpart is not working without VPN.
If this is VPN issue it should not allow to access the Site Content or lists as well but it is throwing issue for webpart deployed page only.
Please advise if anyone have any idea related to this issue.
Thanks in advance
Getting below issues,VM401:5 Refused to execute script from ‘https://test.sharepoint.com/sites/DOL-c-US-TSSkillsAssessment/Client…c252a/TestSolutionWebPartStrings_en-us_eb42a51….js’ because its MIME type (‘text/html’) is not executable, and strict MIME type checking is enabled.Uncaught (in promise) Error: Script error for “bc6bad4d-98f8-4d0d-8f78-4abb4bd2dfd1_0.0.1/TestSolutionWebPartStrings” https://requirejs.org/docs/errors.html#scripterror at makeError (eval at e (sp-pages-assembly_en-us_257eb6e03669104b2d395d767ec024e6.js:199:10587), :5:1843) at HTMLScriptElement.onScriptError (eval at e (sp-pages-assembly_en-us_257eb6e03669104b2d395d767ec024e6.js:199:10587), :5:16979)Getting above error when I deployed webpart to page and when trying to access the page, it is throwing above errors. Same site is working fine with organization VPN network but without VPN it is not working. Aprt from this site content & list are working fine, I can able to access it without VPN. Only page with deployed webpart is not working without VPN.If this is VPN issue it should not allow to access the Site Content or lists as well but it is throwing issue for webpart deployed page only.Please advise if anyone have any idea related to this issue.Thanks in advance Read More
CSP MCA Update
Hi all, I am new to the Partner space and received an email regarding the updated CSP MCA. How do you usually update your customers on these changes? We have set up the tool to do a bulk acceptance but we want to make sure this is done in a way that provides our customer with enough notice and we stay compliant. Any tips?
Hi all, I am new to the Partner space and received an email regarding the updated CSP MCA. How do you usually update your customers on these changes? We have set up the tool to do a bulk acceptance but we want to make sure this is done in a way that provides our customer with enough notice and we stay compliant. Any tips? Read More
Where to send bug reports and feature requests to developers?
Which is good place to file a bug report or feature request to “To-do”-developers team?
I think this community is not for that purpose.
It is more about users, not developers, isn’t it?
Developers don’t read this community.
Which is good place to file a bug report or feature request to “To-do”-developers team?I think this community is not for that purpose.It is more about users, not developers, isn’t it?Developers don’t read this community. Read More
Baseline Agentic AI Systems Architecture
Agentic AI Systems are designed to resolved complex problems with limited direct human supervision [1]. These systems are composed of multiple conversable agents that converse with each other and can be orchestrated centrally or self-organize in a decentralized manner [1, 2]. As the usage of multi-agents systems increases in the enterprise to automate complex processes or solve complex tasks, we would like to take a closer look at what the architecture of such systems could look like.
These agents possess capabilities such as planning, allowing them to predict future states and select optimal actions to achieve specific goals. They also incorporate memory, enabling them to recall past interactions, experiences, and knowledge, which is crucial for maintaining continuity in tasks and refining strategies. Additionally, agents can utilize various tools, including APIs and external software, to execute code, query databases, and interact with other systems [1, 3]. This tool usage extends their functionality and enables them to perform a wide range of actions.
Because agents can take actions, write, and execute code, there is a potential risk of running code that could be malicious or harmful to the host system or other users [3]. Therefore, understanding the architecture of these systems is crucial to sandboxing code execution, restricting or denying access to production data and services, and mitigating failures, vulnerabilities, and abuses.
Architecture
Components
Azure AI Studio [5] is a managed cloud service used to train, deploy, automate, and manage machine learning models, including large language models (LLM), small language models (SLM), and multi-modal models used by the agents. The platform provides a comprehensive suite of tools and services to facilitate the end-to-end machine learning lifecycle. Key features of the Azure AI Studio include:
Prompt Flow [6] is a development tool designed to streamline the entire development lifecycle of Generative AI applications. It supports creating, testing, and deploying prompt flows, which can be used to generate responses or actions based on given prompts. These prompt flows can be deployed to a Machine Learning Workspace or containerized and deployed to Azure Container Apps or Azure Kubernetes Services [7]. AI Studio can also be used to develop and deploy these prompt flows.
Managed Online Endpoints are used by agents and backend services to invoke prompt flows for real-time inference. They provide scalable, reliable, and secure endpoints for deploying machine learning models, enabling real-time decision-making and interactions [7].
Azure AI Dependencies include essential Azure services and resources that support the functioning of AI Studio and associated projects [8]:
Azure Storage Account stores artifacts for projects, such as prompt flows and evaluation data. It is primarily used by the AI Studio to manage data and model assets.
Azure AI Search, a comprehensive cloud search service that supports full-text search, semantic search, vector search, and hybrid search. It provides search capabilities for AI projects and agents and is essential for implementing the Retrieval-Augmented Generation (RAG) pattern. This pattern involves extracting relevant queries from a prompt, querying the AI Search service, and using the results to generate a response using an LLM or SLM model.
Azure Key Vault used for securely storing and managing secrets, keys, and certificates required by agents, AI projects, and backend services.
Azure Container Registry stores and manages container images of agents, backend APIs, orchestrators, and other components. It also stores images created when using a custom runtime for prompt flows.
Azure OpenAI service enables natural language processing tasks like text generation, summarization, and conversation.
Azure AI Services offers APIs for vision, speech, language, and decision-making, including custom models.
Document Intelligence extracts data from documents for intelligent processing.
Azure Speech converts speech to text and vice versa, with translation capabilities.
Content AI Safety ensures AI-generated content is ethical and safe, preventing the creation or spread of harmful or biased material.
These components and services provided by the Azure AI Studio enable seamless integration, deployment, and management of sophisticated AI solutions, facilitating the development and operation of Agentic AI Systems.
Azure Cosmos DB is well suited for Agentic AI Systems and AI agent [9]. It can provide “session” memory with the message history for conversable agents (e.g. ConversableAgent.chat_messages in Autogen [9, 10]). It can also be used for LLM caching [9, 11]. Finally it could be used as a vector database [9, 12].
Azure Cache for Redis is an in-memory store that can be used to store short term memory for agents and LLM caching like for Autogen [11, 13]. It could also be used by backend services to improve performance and as a session store [13].
Azure Container Apps is a serverless platform designed focus on containerized applications and less on the infrastructure [22]. It is well suited for Agentic AI Systems. Agents, orchestrator, prompt flows and backend API can all be deployed as Container Apps. It provides a reliable solution for your agents, orchestrator, prompt flows and backend API. They can scaled automatically regarding the load. Container Apps also provide Dapr integration that helps you implement simple, portable, resilient and secure microservices and agents [23].
For asynchronous between agents and between agents and an orchestrator, we propose to use Azure Service Bus. It is a fully managed enterprise message broker with message queues and publish-subscribe topics [24]. It provides a decoupled communication between agents and between agents and an orchestrator. Dapr can be used to communicate with Azure Service Bus [24]. Dapr provides resiliency policies for communication with Azure Service Bus (preview) [25].
For synchronous communication between agents and between agents and an orchestrator, you can Dapr service-to-service invocation. It is a simple way to call another service (agent or orchestrator) directly with authomatic mTLS authentication and encryption and using service discovery [24]. Dapr also provides resiliency for calling services but it cannot be applied to requests made using the Dapr Service Invocation API [26].
An Azure Kubernetes Services (AKS) architecture is provided below. You can deploy Dapr on Azure Kubernetes Services or use service meshes for direct communication between agents and between agents and an orchestrator. Azure Kubernetes Services provides also a reliable solution for your agents, orchestrator, prompt flows and backend API.
Conclusion
Agentic AI Systems represent a significant advancement in artificial intelligence, providing autonomous decision-making and problem-solving capabilities with minimal human intervention. By leveraging conversable agents with planning, memory, and tool usage capabilities, these systems can address complex enterprise challenges. The proposed architecture, utilizing Azure’s suite of services—including Azure OpenAI, AI Studio, Azure API Management, Container Apps and many others —provides a robust foundation for deploying these intelligent systems. Ensuring the safety, reliability, and ethical operation of such systems is critical, particularly in managing code execution and data security. As the field evolves, continuous refinement of these architectures and practices will be essential to maximize the benefits and minimize risks associated with Agentic AI.
References
Appendix
Thanks
Special thanks to our colleagues for their feedback on the architecture:
Anurag Karuparti
Freddy Ayala
Hitasi Patel
Joji Varghese
Paulrick Garraway
Sam El-Anis
Srikanth Bhakthan
Zouhair Ramram
Microsoft Tech Community – Latest Blogs –Read More
How to get var from base workspace in test sequence
How to get var from base workspace in test sequenceHow to get var from base workspace in test sequence How to get var from base workspace in test sequence test MATLAB Answers — New Questions
About the CenterOfMass property of rigidBodyTree
The CenterOfMass property in the rigidBodyTree class seems to not work. The code is as follows
clear;
load exampleRobots.mat
% Set lbr robot dynamics input data format to ‘column’
lbr.DataFormat = ‘column’;
lbr.Gravity=[0 0 -9.80665];
% Generate a random configuration for lbr
q = [0 0 0 0 0 0 0]’;
dq = [0 0 0 0 0 0 0]’;
ddq = [0.1 0 0 0 0 0 0]’;
%
% Compute the required joint torques for lbr to
% statically hold that configuration
tau = inverseDynamics(lbr, q);
disp(tau);
lbr.Bodies{1}.CenterOfMass=[1000 0 0];
tau = inverseDynamics(lbr, q);
disp(tau);
No matter how I change the position of the center of mass, the moment always remains the same.It looks like the center of mass position or body mass is set to 0,
matlab version is 2022a.The CenterOfMass property in the rigidBodyTree class seems to not work. The code is as follows
clear;
load exampleRobots.mat
% Set lbr robot dynamics input data format to ‘column’
lbr.DataFormat = ‘column’;
lbr.Gravity=[0 0 -9.80665];
% Generate a random configuration for lbr
q = [0 0 0 0 0 0 0]’;
dq = [0 0 0 0 0 0 0]’;
ddq = [0.1 0 0 0 0 0 0]’;
%
% Compute the required joint torques for lbr to
% statically hold that configuration
tau = inverseDynamics(lbr, q);
disp(tau);
lbr.Bodies{1}.CenterOfMass=[1000 0 0];
tau = inverseDynamics(lbr, q);
disp(tau);
No matter how I change the position of the center of mass, the moment always remains the same.It looks like the center of mass position or body mass is set to 0,
matlab version is 2022a. The CenterOfMass property in the rigidBodyTree class seems to not work. The code is as follows
clear;
load exampleRobots.mat
% Set lbr robot dynamics input data format to ‘column’
lbr.DataFormat = ‘column’;
lbr.Gravity=[0 0 -9.80665];
% Generate a random configuration for lbr
q = [0 0 0 0 0 0 0]’;
dq = [0 0 0 0 0 0 0]’;
ddq = [0.1 0 0 0 0 0 0]’;
%
% Compute the required joint torques for lbr to
% statically hold that configuration
tau = inverseDynamics(lbr, q);
disp(tau);
lbr.Bodies{1}.CenterOfMass=[1000 0 0];
tau = inverseDynamics(lbr, q);
disp(tau);
No matter how I change the position of the center of mass, the moment always remains the same.It looks like the center of mass position or body mass is set to 0,
matlab version is 2022a. 2022a, rigidbodytree MATLAB Answers — New Questions
Error when using lstm with cnn
XTrain = single(DL_input_reshaped(:,1,1,Training_Ind));
YTrain = single(DL_output_reshaped(1,1,:,Training_Ind)); XValidation = single(DL_input_reshaped(:,1,1,Validation_Ind));
YValidation = single(DL_output_reshaped(1,1,:,Validation_Ind));
YValidation_un = single(DL_output_reshaped_un);
%% DL Model definition with adjusted pooling and convolution layers layers = [ imageInputLayer([size(XTrain,1), 1, 1],’Name’,’input’,’Normalization’,’none’)
convolution2dLayer(3, 64, ‘Padding’, ‘same’, ‘Name’, ‘conv1’)
batchNormalizationLayer(‘Name’, ‘bn1’)
reluLayer(‘Name’, ‘relu1’)
maxPooling2dLayer([3,1], ‘Stride’, [3,1], ‘Name’, ‘maxpool1’)
convolution2dLayer(3, 128, ‘Padding’, ‘same’, ‘Name’, ‘conv2’)
batchNormalizationLayer(‘Name’, ‘bn2’)
reluLayer(‘Name’, ‘relu2’)
maxPooling2dLayer([3,1], ‘Stride’, [3,1], ‘Name’, ‘maxpool2’)
convolution2dLayer(3, 256, ‘Padding’, ‘same’, ‘Name’, ‘conv3’)
batchNormalizationLayer(‘Name’, ‘bn3’)
reluLayer(‘Name’, ‘relu3’)
maxPooling2dLayer([3,1], ‘Stride’, [3,1], ‘Name’, ‘maxpool3’)
flattenLayer(‘Name’, ‘flatten’) % Flatten to 1D per sample
lstmLayer(200, ‘OutputMode’, ‘last’, ‘Name’, ‘lstm1’) % LSTM layer
fullyConnectedLayer(512, ‘Name’, ‘fc1’)
reluLayer(‘Name’, ‘relu4’)
dropoutLayer(0.5, ‘Name’, ‘dropout1’)
fullyConnectedLayer(1024, ‘Name’, ‘fc2’)
reluLayer(‘Name’, ‘relu5’)
dropoutLayer(0.5, ‘Name’, ‘dropout2’)
fullyConnectedLayer(2048, ‘Name’, ‘fc3’)
reluLayer(‘Name’, ‘relu6’)
dropoutLayer(0.5, ‘Name’, ‘dropout3’)
fullyConnectedLayer(size(YTrain,3), ‘Name’, ‘fc4’)
regressionLayer(‘Name’, ‘output’) ];
options = trainingOptions(‘rmsprop’, …
.
.
.
so this error is appear to me
((error useing trainNetwork Invalid training data.
The output size (1024) of the last layer does not match the response size (1).))
so the size or XTrain and YTrain is (features x 1 x 1 x minbatchsize)XTrain = single(DL_input_reshaped(:,1,1,Training_Ind));
YTrain = single(DL_output_reshaped(1,1,:,Training_Ind)); XValidation = single(DL_input_reshaped(:,1,1,Validation_Ind));
YValidation = single(DL_output_reshaped(1,1,:,Validation_Ind));
YValidation_un = single(DL_output_reshaped_un);
%% DL Model definition with adjusted pooling and convolution layers layers = [ imageInputLayer([size(XTrain,1), 1, 1],’Name’,’input’,’Normalization’,’none’)
convolution2dLayer(3, 64, ‘Padding’, ‘same’, ‘Name’, ‘conv1’)
batchNormalizationLayer(‘Name’, ‘bn1’)
reluLayer(‘Name’, ‘relu1’)
maxPooling2dLayer([3,1], ‘Stride’, [3,1], ‘Name’, ‘maxpool1’)
convolution2dLayer(3, 128, ‘Padding’, ‘same’, ‘Name’, ‘conv2’)
batchNormalizationLayer(‘Name’, ‘bn2’)
reluLayer(‘Name’, ‘relu2’)
maxPooling2dLayer([3,1], ‘Stride’, [3,1], ‘Name’, ‘maxpool2’)
convolution2dLayer(3, 256, ‘Padding’, ‘same’, ‘Name’, ‘conv3’)
batchNormalizationLayer(‘Name’, ‘bn3’)
reluLayer(‘Name’, ‘relu3’)
maxPooling2dLayer([3,1], ‘Stride’, [3,1], ‘Name’, ‘maxpool3’)
flattenLayer(‘Name’, ‘flatten’) % Flatten to 1D per sample
lstmLayer(200, ‘OutputMode’, ‘last’, ‘Name’, ‘lstm1’) % LSTM layer
fullyConnectedLayer(512, ‘Name’, ‘fc1’)
reluLayer(‘Name’, ‘relu4’)
dropoutLayer(0.5, ‘Name’, ‘dropout1’)
fullyConnectedLayer(1024, ‘Name’, ‘fc2’)
reluLayer(‘Name’, ‘relu5’)
dropoutLayer(0.5, ‘Name’, ‘dropout2’)
fullyConnectedLayer(2048, ‘Name’, ‘fc3’)
reluLayer(‘Name’, ‘relu6’)
dropoutLayer(0.5, ‘Name’, ‘dropout3’)
fullyConnectedLayer(size(YTrain,3), ‘Name’, ‘fc4’)
regressionLayer(‘Name’, ‘output’) ];
options = trainingOptions(‘rmsprop’, …
.
.
.
so this error is appear to me
((error useing trainNetwork Invalid training data.
The output size (1024) of the last layer does not match the response size (1).))
so the size or XTrain and YTrain is (features x 1 x 1 x minbatchsize) XTrain = single(DL_input_reshaped(:,1,1,Training_Ind));
YTrain = single(DL_output_reshaped(1,1,:,Training_Ind)); XValidation = single(DL_input_reshaped(:,1,1,Validation_Ind));
YValidation = single(DL_output_reshaped(1,1,:,Validation_Ind));
YValidation_un = single(DL_output_reshaped_un);
%% DL Model definition with adjusted pooling and convolution layers layers = [ imageInputLayer([size(XTrain,1), 1, 1],’Name’,’input’,’Normalization’,’none’)
convolution2dLayer(3, 64, ‘Padding’, ‘same’, ‘Name’, ‘conv1’)
batchNormalizationLayer(‘Name’, ‘bn1’)
reluLayer(‘Name’, ‘relu1’)
maxPooling2dLayer([3,1], ‘Stride’, [3,1], ‘Name’, ‘maxpool1’)
convolution2dLayer(3, 128, ‘Padding’, ‘same’, ‘Name’, ‘conv2’)
batchNormalizationLayer(‘Name’, ‘bn2’)
reluLayer(‘Name’, ‘relu2’)
maxPooling2dLayer([3,1], ‘Stride’, [3,1], ‘Name’, ‘maxpool2’)
convolution2dLayer(3, 256, ‘Padding’, ‘same’, ‘Name’, ‘conv3’)
batchNormalizationLayer(‘Name’, ‘bn3’)
reluLayer(‘Name’, ‘relu3’)
maxPooling2dLayer([3,1], ‘Stride’, [3,1], ‘Name’, ‘maxpool3’)
flattenLayer(‘Name’, ‘flatten’) % Flatten to 1D per sample
lstmLayer(200, ‘OutputMode’, ‘last’, ‘Name’, ‘lstm1’) % LSTM layer
fullyConnectedLayer(512, ‘Name’, ‘fc1’)
reluLayer(‘Name’, ‘relu4’)
dropoutLayer(0.5, ‘Name’, ‘dropout1’)
fullyConnectedLayer(1024, ‘Name’, ‘fc2’)
reluLayer(‘Name’, ‘relu5’)
dropoutLayer(0.5, ‘Name’, ‘dropout2’)
fullyConnectedLayer(2048, ‘Name’, ‘fc3’)
reluLayer(‘Name’, ‘relu6’)
dropoutLayer(0.5, ‘Name’, ‘dropout3’)
fullyConnectedLayer(size(YTrain,3), ‘Name’, ‘fc4’)
regressionLayer(‘Name’, ‘output’) ];
options = trainingOptions(‘rmsprop’, …
.
.
.
so this error is appear to me
((error useing trainNetwork Invalid training data.
The output size (1024) of the last layer does not match the response size (1).))
so the size or XTrain and YTrain is (features x 1 x 1 x minbatchsize) cnn, lstm, deep learning MATLAB Answers — New Questions
Project Server Subscription Edition – Build OLAP Cube Error
Hi,
I am facing an error message related to building OLAP cube.
It required to have Analysis Service Management Client (AMO) 2019 to get it work, but unfortunately could not find direct download link, All i can find is a link for AMO 2022 which did not work.
Does anyone face this issue?
Thanks & Regards
Ahmed Amin
Hi,I am facing an error message related to building OLAP cube. It required to have Analysis Service Management Client (AMO) 2019 to get it work, but unfortunately could not find direct download link, All i can find is a link for AMO 2022 which did not work. Does anyone face this issue? Thanks & RegardsAhmed Amin Read More
Reporting Entra ID Administrative Role Assignments
A recent report highlighted the problem of on-premises accounts synchronized to Entra ID that receive administrative role assignments. This article explains how to report the administrative role assignments managed by Privileged Identity Management (PIM) or direct role membership so that it’s easy to highlight on-premises accounts holding administrative roles.
https://office365itpros.com/2024/08/20/administrative-role-assignments/
A recent report highlighted the problem of on-premises accounts synchronized to Entra ID that receive administrative role assignments. This article explains how to report the administrative role assignments managed by Privileged Identity Management (PIM) or direct role membership so that it’s easy to highlight on-premises accounts holding administrative roles.
https://office365itpros.com/2024/08/20/administrative-role-assignments/ Read More
How can I complain against Pay.tm?
Pay.tm that you can use to file a complaint about a refund issue: Customer Support: 081,00,27,16,04 (available 24/7) You can use any of these channels to reach…
Pay.tm that you can use to file a complaint about a refund issue: Customer Support: 081,00,27,16,04 (available 24/7) You can use any of these channels to reach… Read More
Tech for Good: Giving a Voice to the Voiceless
Your voice is an integral part of your identity. Not being able to express yourself and your ideas would be incredibly frustrating and isolating. Luckily technology exists to help people who lose their voice due to cancer, ALS and other conditions. US AI MVP Charles Elwood, has helped multiple people regain their voice through an app he created that utilizes Microsoft’s Custom Neural Voice (CNV) and AI. The app converts text to speech in customized natural sounding synthetic voice.
Former Radio DJ & manager, Chris Martin, lost his ability to speak due to throat cancer and the surgical removal of his larynx. Since Chris had been a DJ, there were existing recordings of his voice that Charles was able to use with his app that allows Chris to speak again through AI.
Radio DJ & manager, Chris Martin (l) interviewing AI MVP Charles Elwood (r)
Charles created a “bank” of Chris’s voice that allows him to type in sentences he wants his computer or phone to say for him. This text to speech service allows Chris to share his humor, life stories and to have deep conversations with his wife and family members. He can even still do play-by-play action for sports, an activity he loved to do when he was a DJ. Chris was able to interview Charles when he used his app on the radio airwaves. Chris’s wife told Charles “You took him home, Charlie.”
Q&A with Charles on merging his technical expertise with a passion for the greater good to help Chris, and others speak, in their own voice:
MVP Program: Share with us the background about your recent projects using AI & Microsoft Neural Voice:
Charles: I am helping people with cerebral palsy, amyotrophic lateral sclerosis (ALS), throat cancer, congenital diseases, and nonverbal on the spectrum. These are terrible diseases that cut off communication even though the brain is functioning and alive inside. I want to enable the people impacted to have a voice and be included in our society again. It’s possible with Custom Neural Voice, Azure AI Custom Vision and Azure technologies.
MVP Program: In what ways do you envision this technology evolving, and how might it further assist individuals with speech impairments in the future?
Charles: I really think for people that need mobility, smaller samples will be developed and operate on the edge to give people the freedom to move around, better privacy and security and less energy usage than the large language models. I am watching Phi-3 development and GPT4o mini with excitement! Fine tuning, RAG (Retrieval Augmented Generation), and SLMs (Small Language Models) are converging and easier to connect together. Pricing and models are improving to accommodate these cases. It is interesting to note, this is all very new technology and already has advanced so much in just 2 years.
MVP Program: How do you ensure the ethical use of someone’s voice, and what measures are in place to protect users privacy?
Charles: I leave ownership and decisions of the voice to the person that originated the voice. I am having discussions with them about ownership in the future – do they pass the voice on in a will and give ownership to a spouse or children? I explain to them that I use Azure to host their voice, and I create logins in Azure with MFA (Multifactor Authentication), and they are the only people in the world that can access their voice. I also hear from many people whose parents have passed and they just want to hear their parents voice again. Sometimes to complete the grieving process, to help with closure, and sometimes to help their children hear their parents’ voice. All of these discoveries help me see where the ethical issues may occur and helps me educate people about what we need to be aware of and maybe this changes some of the rules and social constructs around ethics.
For more information on Charles Elwood’s projects, please visit:
AI app gives voice to those who’ve lost theirs (secondwavemedia.com)
Entrepreneur’s ArtPrize entry merges AI, ballet, and chalk art (secondwavemedia.com)
AI’s Role in Empowering Communication and Preserving Cultures (YouTube)
Microsoft Tech Community – Latest Blogs –Read More
How to connect value in app designer to simulink
I have Simscape Simulink Model. I set the parameter of Spring Stiffness is k, Mass is m.
How to add value from Appdesign and Simulink ?
Thank you!I have Simscape Simulink Model. I set the parameter of Spring Stiffness is k, Mass is m.
How to add value from Appdesign and Simulink ?
Thank you! I have Simscape Simulink Model. I set the parameter of Spring Stiffness is k, Mass is m.
How to add value from Appdesign and Simulink ?
Thank you! app designer, simulink MATLAB Answers — New Questions
AD Connect threw an exception Powershell 7
Hello,
i have an issue with powershell 7 somehow when i start manually the Azure AD sync i recieve following message:
“Start-ADSyncSyncCycle: The type initializer for ‘System.Web.Util.Utf16StringValidator’ threw an exception.”
if i try it in Powershell 5.1 i runs perfect.
See Screenshots below.
I don’t know what could be the Problem.
Powershell 7.4.4
Powershell 5.1
Hopefully someone can help me
Powershell 5.1 Version:
Powershell 7.4.4 Version:
Hello,i have an issue with powershell 7 somehow when i start manually the Azure AD sync i recieve following message:”Start-ADSyncSyncCycle: The type initializer for ‘System.Web.Util.Utf16StringValidator’ threw an exception.”if i try it in Powershell 5.1 i runs perfect. See Screenshots below. I don’t know what could be the Problem. Powershell 7.4.4Powershell 5.1 Hopefully someone can help mePowershell 5.1 Version: Powershell 7.4.4 Version: Read More
KQL for High Privileged Group Query
Hi Team,
Could you please provide some sample logs of “IdentityQueryEvents” so I can create KQL for High Privileged Group Query. or any some other KQL for “IdentityQueryEvents”. so i can take reference. This is MDI based query.
Hi Team, Could you please provide some sample logs of “IdentityQueryEvents” so I can create KQL for High Privileged Group Query. or any some other KQL for “IdentityQueryEvents”. so i can take reference. This is MDI based query. Read More
How to use Genetic Algorithm to solve discrete data for optimization?
Hello Everyone,
I have a question regarding Genetic Algorithm.
I have a data set for muffler optimisation in which I have calculated Transmission loss for various changes in muffler such as Inlet dia meter change and 5 other parameters for various frequiencies ranging from 60 Hz to 2000Hz. Each parameter is calculated for -15% to +15%.
change = [-15 , -10 , -5 , 0 , 5 , 10 , 15]; % Variable
input_length_RMSTL = [16.74 , 19.38 , 20.06 , 20.90 , 19.43 , 18.71 , 18.62];
output_length_RMSTL = [21.01 , 19.81 , 19.36 , 20.90 , 20.68 , 20.42 , 20.12];
muffler_length_RMSTL = [18.89 , 18.92 , 18.97 , 20.90 , 19.84 , 20.02 , 19.93];
input_dia_RMSTL = [18.77 , 19.47 , 18.98 , 20.90 , 19.56 , 19.68 , 19.99];
muffler_dia_RMSTL = [18.89 , 19.55 , 19.50 , 20.90 , 19.39 , 19.19 , 19.13];
output_dia_RMSTL = [18.99 , 19.24 , 19.49 , 20.90 , 19.46 , 19.52 , 19.77];
I have to optimise it using genetic algorithm. I have created function using curve fitting tool but this does seem to help as the curve is not properly fitting to all data points.
Can anybody help me with this problem?
Thanks in Advance.Hello Everyone,
I have a question regarding Genetic Algorithm.
I have a data set for muffler optimisation in which I have calculated Transmission loss for various changes in muffler such as Inlet dia meter change and 5 other parameters for various frequiencies ranging from 60 Hz to 2000Hz. Each parameter is calculated for -15% to +15%.
change = [-15 , -10 , -5 , 0 , 5 , 10 , 15]; % Variable
input_length_RMSTL = [16.74 , 19.38 , 20.06 , 20.90 , 19.43 , 18.71 , 18.62];
output_length_RMSTL = [21.01 , 19.81 , 19.36 , 20.90 , 20.68 , 20.42 , 20.12];
muffler_length_RMSTL = [18.89 , 18.92 , 18.97 , 20.90 , 19.84 , 20.02 , 19.93];
input_dia_RMSTL = [18.77 , 19.47 , 18.98 , 20.90 , 19.56 , 19.68 , 19.99];
muffler_dia_RMSTL = [18.89 , 19.55 , 19.50 , 20.90 , 19.39 , 19.19 , 19.13];
output_dia_RMSTL = [18.99 , 19.24 , 19.49 , 20.90 , 19.46 , 19.52 , 19.77];
I have to optimise it using genetic algorithm. I have created function using curve fitting tool but this does seem to help as the curve is not properly fitting to all data points.
Can anybody help me with this problem?
Thanks in Advance. Hello Everyone,
I have a question regarding Genetic Algorithm.
I have a data set for muffler optimisation in which I have calculated Transmission loss for various changes in muffler such as Inlet dia meter change and 5 other parameters for various frequiencies ranging from 60 Hz to 2000Hz. Each parameter is calculated for -15% to +15%.
change = [-15 , -10 , -5 , 0 , 5 , 10 , 15]; % Variable
input_length_RMSTL = [16.74 , 19.38 , 20.06 , 20.90 , 19.43 , 18.71 , 18.62];
output_length_RMSTL = [21.01 , 19.81 , 19.36 , 20.90 , 20.68 , 20.42 , 20.12];
muffler_length_RMSTL = [18.89 , 18.92 , 18.97 , 20.90 , 19.84 , 20.02 , 19.93];
input_dia_RMSTL = [18.77 , 19.47 , 18.98 , 20.90 , 19.56 , 19.68 , 19.99];
muffler_dia_RMSTL = [18.89 , 19.55 , 19.50 , 20.90 , 19.39 , 19.19 , 19.13];
output_dia_RMSTL = [18.99 , 19.24 , 19.49 , 20.90 , 19.46 , 19.52 , 19.77];
I have to optimise it using genetic algorithm. I have created function using curve fitting tool but this does seem to help as the curve is not properly fitting to all data points.
Can anybody help me with this problem?
Thanks in Advance. optimization, genetic algorithm MATLAB Answers — New Questions
How to Access Enum Bus Signal in Variant Subsystem within Referenced Model?
Hello everyone,
I’m facing an issue with a Simulink model where I’m using an enum bus signal to switch between two models configured as variant subsystems. These variant subsystems are part of a referenced model.
The problem is that the models in the referenced subsystem don’t seem to have access to the enum bus signal or even to the base workspace variables.
I need the enum bus signal to be available in the referenced models so that it can control the variant conditions. Does anyone have suggestions on how to pass this enum bus signal to the referenced model or how to make it accessible within these models?
Any help or insight would be greatly appreciated!
Thanks in advance!Hello everyone,
I’m facing an issue with a Simulink model where I’m using an enum bus signal to switch between two models configured as variant subsystems. These variant subsystems are part of a referenced model.
The problem is that the models in the referenced subsystem don’t seem to have access to the enum bus signal or even to the base workspace variables.
I need the enum bus signal to be available in the referenced models so that it can control the variant conditions. Does anyone have suggestions on how to pass this enum bus signal to the referenced model or how to make it accessible within these models?
Any help or insight would be greatly appreciated!
Thanks in advance! Hello everyone,
I’m facing an issue with a Simulink model where I’m using an enum bus signal to switch between two models configured as variant subsystems. These variant subsystems are part of a referenced model.
The problem is that the models in the referenced subsystem don’t seem to have access to the enum bus signal or even to the base workspace variables.
I need the enum bus signal to be available in the referenced models so that it can control the variant conditions. Does anyone have suggestions on how to pass this enum bus signal to the referenced model or how to make it accessible within these models?
Any help or insight would be greatly appreciated!
Thanks in advance! variant subsystem, referenced model MATLAB Answers — New Questions
function “getFileInfoForToolstrip” endless loop
I use the cvx tool box in my code. "getFileInfoForToolstrip" function is called. And it become endless loop. It can’t jump out of this function. But this function is written by MathWorks, I am confuse how i can solve it?
Following is the function I copy from the function.
function [isTestFile, isValidFile, isClassBasedTest] = getFileInfoForToolstrip(file)
[SL: snipped the full body of the MathWorks function]I use the cvx tool box in my code. "getFileInfoForToolstrip" function is called. And it become endless loop. It can’t jump out of this function. But this function is written by MathWorks, I am confuse how i can solve it?
Following is the function I copy from the function.
function [isTestFile, isValidFile, isClassBasedTest] = getFileInfoForToolstrip(file)
[SL: snipped the full body of the MathWorks function] I use the cvx tool box in my code. "getFileInfoForToolstrip" function is called. And it become endless loop. It can’t jump out of this function. But this function is written by MathWorks, I am confuse how i can solve it?
Following is the function I copy from the function.
function [isTestFile, isValidFile, isClassBasedTest] = getFileInfoForToolstrip(file)
[SL: snipped the full body of the MathWorks function] convex, optimization, official function MATLAB Answers — New Questions
Windows 11 Pro GetGenuine
Can I cancel Windows 11 Pro GetGenuine after provisioning on Partner Center?
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