Simplifying tech. Amplifying understanding.
Supply chains run on trust, but most companies can’t actually prove where their products come from. This guide breaks down how blockchain solves that problem with the help of immutable record-keeping, smart contracts, and IoT integration. We will go through real-world examples like Walmart’s mango-tracing pilot and De Beers’ conflict-free diamond platform to see it in action.
Japan is moving to overhaul its $7 trillion bond and stock settlement infrastructure, aiming to cut settlement times from days to seconds using blockchain technology. This piece breaks down the Nikkei Asia report and explains how blockchain enables real-time settlements.
AI chips, or artificial intelligence chips, are specialized processors designed to handle the kinds of computation that AI, especially deep learning, requires. Learn about how they work, different types, top AI chip companies, and more here.
Ben Goertzel, touted as the father of Artificial General Intelligence (AGI), says AGI could arrive sooner than many expect. He has become increasingly optimistic about it after witnessing the recent surge in AI agents and agentic AI.
Conversational AI is the technology that lets machines understand, process, and respond in human language. Generative AI agents, AI chatbots, and speech recognition software are all common examples of conversational AI. However, it is important to understand how it works, its benefits, challenges, and more to implement and scale these artificial intelligence chat solutions efficiently.
The future of self-driving cars promises safer roads with LiDAR technology. But Level 5 autonomy is still a distant future, as most autonomous vehicles currently running on the road are only up to Level 2 or Level 3, while Waymo’s robotaxis run at Level 4.
The environmental impact of generative AI is a result of the backend processing these systems do to generate a desired output. Energy and water consumption are high, and the electronic waste generated is difficult to decompose.
The Internet of Things (IoT) powers far more than smart speakers and connected appliances. From wearable devices and autonomous vehicles to factories and smart cities, IoT is quietly transforming how we live and work. This article explains what IoT is, how it works behind the scenes, its real-world applications, the security challenges it introduces, and how AI is making connected devices smarter than ever before.
Agentic AI readiness assessment is essential to determine if an organization is ready to deploy artificial intelligence agents and to ensure they can scale them for sustained success. Since these systems communicate with each other to automate complex tasks, the data, infrastructure, governance, and workforce should be aligned for agentic AI implementation. But most companies are not ready for that yet.
AI doesn’t think, it doesn’t learn on its own, and it’s far from infallible. Yet these myths shape how millions of people and businesses use it every day. From hallucinations to hidden bias to the surprisingly low success rate of enterprise AI projects, we break down what machine learning can actually do, backed by the latest 2026 data and insight from AI leaders and where the hype simply doesn’t hold up.
