Ansh Agarwal

In the world of digital design and semiconductor development, Hardware Description Languages (HDLs) play a pivotal role. Among the most widely used HDLs are Verilog and VHDL. Both languages allow engineers to describe the behavior and structure of digital systems, such as microprocessors, memory chips, and complex integrated circuits. However, despite their similar purpose, Verilog […]

Artificial Intelligence (AI) is no longer limited to software algorithms running on general-purpose processors. Today, AI workloads demand massive computational power, ultra-low latency, and high energy efficiency—requirements that traditional CPUs and even GPUs struggle to meet. This demand has led to the rapid rise of AI accelerators, specialized hardware designed specifically for AI and machine

Data science has become one of the most in-demand career paths in today’s digital world. From startups to multinational companies, organizations rely on data to make informed decisions, predict trends, and improve customer experiences. If you’re a beginner planning to enter this field, it’s important to focus on the right fundamentals instead of feeling overwhelmed

In 2026, the global technology ecosystem is undergoing a massive transformation driven by Artificial Intelligence (AI) and 5G connectivity. At the heart of this digital revolution lies a foundational component that often operates behind the scenes,semiconductors. From powering advanced AI algorithms to enabling ultra-fast 5G networks, semiconductors are the backbone of modern innovation. As industries

Real-time embedded systems make our world run smoothly and safely. They control things like car brakes and factory robots that must act fast. Industries need them to save time, cut costs, and keep people safe – think of peace when machines never fail! Table of Contents What Are They? Why Industries Love Them Design Secrets

The field of data science is evolving rapidly, driven by advancements in artificial intelligence (AI), machine learning (ML), and automation. One of the most impactful developments shaping this evolution is Augmented Analytics. As organizations generate massive volumes of data, traditional analytics methods are no longer sufficient. Augmented analytics is emerging as a game-changer by making

The Internet of Things (IoT) is growing fast, and every device needs a tiny brain. That brain is the processor of architecture—usually ARM or RISC-V. Many people wonder which one will lead to the future. This topic is full of excitement because IoT devices are now everywhere. They live in our watches, home devices, shops,

Cloud data is exploding. In 2025, businesses need powerful platforms to store, process, and analyze massive datasets. Two names dominate the conversation: Snowflake and Databricks. But which is the better fit? This article breaks down their strengths and where each shines — so you can make an informed decision.   Key Takeaways Snowflake excels in

The year 2025 marks a transformative phase in the semiconductor world, driven largely by breakthroughs in advanced transistor architectures. As device scaling approaches the limits of traditional CMOS technology, chip designers are embracing innovative structures to achieve higher performance, reduced power consumption, and improved efficiency. These emerging transistor architectures are not only redefining the capabilities

Over the last few years, Artificial Intelligence has evolved dramatically—but the biggest shift happening today isn’t in the models. It’s in the data. This shift is called Data-Centric AI (DCAI), and it is quickly becoming one of the most important trends that every data scientist, ML engineer, and AI practitioner is talking about. Traditionally, AI