Artificial Intelligence (AI) has revolutionized various fields, and one area where it has made significant advancements is computer vision. Computer vision involves the analysis and interpretation of visual data to gain insights and understand the surrounding environment. AI algorithms have enhanced object tracking, motion segmentation, activity recognition, traffic monitoring, sports analysis, robotic navigation, 3D reconstruction,…
Continue ReadingTitle: Carbon Emission Reduction with Chia Seed Plants
How to get to net zero carbon emmission reduction in our transportation infracsturture with chia seed plants! Introduction: Chia seeds are not only a nutritious superfood but also hold great potential in contributing to carbon emission reduction. In this proposal, we will explore how chia seed plants can play a role in mitigating carbon dioxide…
Continue ReadingDeveloping Next-Generation Python Computer Vision Technologies for Decarbonizing Industrial Sectors
Next-generation Python computer vision technologies have the potential to significantly contribute to decarbonizing industrial sectors. Here are some key areas and techniques that can be leveraged to minimize the carbon footprint across various sectors: Deep Learning and Neural Networks: Techniques like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models have shown great…
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Security Analytics and Operations: Industry Trends in the Era of Cloud Computing
Turn your organization to cloud-based security and address data capacity and infrastructure requirements to solve cloud challenges. Subscribe here! Read More…
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6 ways to kickstart DevSecOps
DevOps methodologies provide businesses with a faster and more efficient way to do code—and organizations are turning to DevSecOps as the solution to harden security and address compliance at the same time.
Starting DevSecOps practices can be challenging, especially when working with siloed teams, or when there is reluctance to add security and compliance checks to the delivery pipelines—but we are here to help.
Sign up to stay connected and download 6 ways to kickstart DevSecOps—and get started integrating security into your practices.
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Security Analytics and Operations: Industry Trends in the Era of Cloud Computing
Find out how adopting cloud-based security—including automation, orchestration, and machine learning technologies—can help your organization address operational and scalability challenges in the cloud era. Subscribe to learn more!
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Low code vs. no code and the future of application development
Low code and no code platforms make application and software development accessible to businesses or projects that may not always need a full development team. The low code technology market is predicted to grow 23 percent globally in 2021—providing opportunities to save money and time.
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Improve observability, strengthen security, and proactively remediate vulnerabilities
There are DevOps tools for every phase of the app lifecycle. Use Azure to implement DevOps practices throughout application planning, development, delivery, and operations. By applying the right combination of DevOps technologies, culture, and processes, you can achieve continual software delivery and offer better value for your customers.
Sign up to stay connected. We’ll help you learn more about using Azure DevOps with GitHub and Visual Studio from Microsoft.
Continue ReadingDow uses vision AI at the edge to boost employee safety and security with Azure
Dow is a leader in materials science, focused on delivering innovative and sustainable customer-centric solutions. An important priority for the chemical company is safety, and Microsoft Azure played a crucial role in enabling preventative leak detection with the goal of zero safety-related events at its facilities. The initial solution leverages Azure AI to analyze live video and uses an app to trigger notifications to the operator if it detects a possible leak. Azure Video Analyzer, coupled with Azure DevOps, provided a quick, low-latency, low-resource, and easily scalable solution. Machine learning ensures the model is continually refined, so it gets better with each interaction.
Best of all, this model can be leveraged for other applications, such as detecting when employees aren’t wearing proper PPE in industrial locations, and security monitoring.
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Leveraging Tech to Improve Customer Experience: 11 Smart Techniques
CX is vital in helping a company retain its customers and grow its customer base through organic referrals. From intelligent chatbots available 24/7 to personal touch technologies, data-driven solutions are engaging customers in profound new ways. In this article, 11 members of Forbes Technology Council explain how organizations can use intelligent tech can improve their customers’ experience.
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