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Artificial Intelligence (AI) is transforming industries by enabling automation, improving decision-making, and generating new business models. When employing AI, businesses must make an important decision between Embedded AI and Cloud AI. Both have unique advantages and challenges that impact the final business value created. Knowing the difference between the two can help companies determine which […]

As the field of data science continues to mature, the hiring process is evolving. In 2025, interviews are more dynamic, reflecting the increasing expectations from data scientists: technical excellence, business impact, and product thinking. If you’re preparing for a data science role this year—whether as a fresher or experienced professional—this guide will walk you through

With Microsoft Cloud, Continuous Integration and Continuous Delivery (CI/CD) is changing how today’s infrastructure teams quickly and reliably build, test, and ship applications. Training corporate teams in CI/CD equips them with capabilities and knowledge to utilize Microsoft powerful cloud tools, automated deployments and enable collaboration in cloud-native environments. Key Takeaways: CI/CD automates the software integration

Artificial Intelligence (AI) is transforming many aspects of daily life, from recommendations on streaming platforms to important decisions in healthcare and finance. As AI systems become more powerful, the role of data scientists in building ethical AI systems becomes crucial. These experts ensure AI not only works well but also treats everyone fairly and protects

Mastering RTL design and synthesizable coding in VHDL is essential for engineers working with digital circuits. This article dives into the fundamentals of VHDL, Register Transfer Level (RTL) design, and how to write synthesizable code for real digital hardware. Key Takeaways VHDL is a hardware description language used for designing digital systems. RTL design describes

In the fast-paced world of data science, the ability to quickly comprehend fundamental and complex concepts, troubleshoot problems and develop insights is essential. ChatGPT, the AI language model developed by OpenAI, has become an invaluable part of the data science toolkit. It has the capability to help you clarify questions brought up during your data

In the fast-evolving semiconductor industry, mastering the top VLSI tools as a working professional can significantly boost career prospects. With the intricate design processes and high demands in chip manufacturing, knowing the right software tools for each stage of VLSI (Very Large Scale Integration) design workflow is crucial. This article dives deep into the essential

Very Large-Scale Integration (VLSI) design is one of the hottest categories of the semiconductor and electronics industry today. For working professionals eager to take their careers to the next level by investing in a VLSI course, selecting the best mode of study is important. But with so many different options out there – especially online

Introduction As artificial intelligence (AI) quickly moves through industries, deploying AI models in devices (for example, IoT sensors, drones, medical instruments, and personal mobile devices) is becoming commonplace. Edge and embedded systems are often constrained in memory, compute, and energy. This is the essential question: How do we deploy high-performing AI models on resources-constrained devices?

In 2025, prompt engineering is becoming a critical skill that all data scientists should learn. Prompt engineering fundamentally changes how data scientists interact with AI, particularly powerful large language models (LLMs), and makes their data workflows faster, smarter, and more effective. Key Takeaways Prompt engineering plays a key role in linking traditional data science to