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How Situational Awareness Transforms Traffic Surveillance
Focusing on the core principles of using AI—particularly computer vision—to achieve situational awareness, we explore practical applications, starting with traffic surveillance and its potential impact on safety and efficiency.
Be Aware of Your Surroundings
Situational awareness is the key to making quick, informed decisions, especially when things are changing fast or there’s potential danger. Thanks to advanced AI technologies like computer vision and language models, machines can now do more than just run autonomously—they can help us by watching for risks, predicting outcomes, and sounding the alarm when something’s wrong.
Automatic, Autonomous, Autonomic?
Autonomic computing is making a comeback as the next step in technological evolution. It refers to systems that go beyond simple autonomy—they are aware of their changing environments and can self-adapt accordingly.
Kubernetes
In-depth series on key features of Kubernetes
Kubernetes Services Overview
Take a closer look at Services in Kubernetes: ClusterIP, NodePort, LoadBalancer, and ExternalName.
Deploying Multiple Pod Replicas
Learn how to deploy multiple replicas of the same Pod using the Deployment component.
Deploying Pods in Kubernetes
A step-by-step approach to show you how to deploy your first Pod on Kubernetes.
Harnessing Kubernetes for Modern Application Deployment and Management
By transitioning to microservices, organizations can achieve higher levels of service quality for end users and customers.