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Showing posts with the label Serverless Computing

What are the ethical concerns about AI development?

Artificial Intelligence (AI) is one of the most powerful technologies of our time. From self-driving cars to chatbots, from medical diagnostics to recommendation systems, AI is transforming every aspect of life. But with great power comes great responsibility. As AI grows more capable and widespread, it raises several ethical concerns. These issues are not just technical; they touch on fairness, privacy, transparency, accountability, and even what it means to be human. In this blog, we’ll explore — in depth — the major ethical concerns about AI development and why addressing them is crucial for the future. 1. Bias and Discrimination One of the most talked-about ethical issues in AI is bias. AI systems learn from data, and if the data is biased, the model will also be biased. For example: A hiring algorithm trained on past data where more men were hired than women might also favor male candidates. A facial recognition system trained mostly on light-skinned faces may fail to a...

Serverless Computing: The Future of Cloud Applications

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The development of cloud computing has completely changed how apps are created, implemented, and expanded. Serverless computing, an architecture that abstracts away the underlying infrastructure and lets developers concentrate only on creating code, is one of the most revolutionary developments. Serverless computing is emerging as the cloud application of the future as companies continue to seek cost-effectiveness, scalability, and agility. What is Serverless Computing? A cloud computing execution model known as serverless computing allows the cloud provider to dynamically control server provisioning and allocation. Without having to worry about scaling servers, maintaining infrastructure, or performing maintenance duties, developers can build and release code. Despite the term, serverless does not imply that no servers are used; rather, it indicates that developers do not have to provide or manage servers. AWS Lambda, Microsoft Azure Functions, Google Cloud Functions, and IBM Cloud Fu...

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