Author: Urvi Teresa Gomes

I used to sleep with my phone charging under my pillow. I thought as long as it wasn’t getting visibly hot, I was fine. Turns out, I was playing with fire. Literally. Most of us have been plugging in our devices the wrong way for years, guided by battery charging myths passed around like tech gospel. “Charge it to 100% every time,” “let it die completely before charging,” “any charger will do.” Sound familiar? But these common charging habits, many of which feel totally harmless, are quietly draining your battery’s lifespan and, in some cases, creating a genuine safety hazard…

Large Language Models revolutionized AI when ChatGPT launched in late 2022, but they had a critical blind spot: they couldn’t see. These LLMs could write essays and answer questions, yet they couldn’t describe a photograph. Vision Language Models changed that by integrating visual perception. Today, GPT-5 helps a blind user by reading labels, or Google’s Gemini 3 Flash analyzes medical scans while generating diagnostic reports. The implications extend across industries. VLMs are used in the healthcare industry to detect anomalies in patients’ test results. Production factories deploy them for predictive analysis and running simulations. In this post, I’ll comprehensively explain…

In recent years, we’ve watched AI progressing from a niche technology into something that touches nearly every industry. The way I see it, we’re currently at an inflection point. The gap between proprietary and open source LLMs has narrowed dramatically, and 2026 is shaping up to be the year when open models truly come into their own. In this post, I’ll walk you through the top open source LLMs you should be watching this year, benefits of LLMs, and why they matter for your projects. Key Takeaways What are Open Source LLMs? Before we get into the specific models, let’s clarify…

We’ve stepped into an AI era where single models can’t keep up with the scale of tasks we expect them to handle. That’s why multi-agent system is getting so much attention today.  You’ve probably seen this shift yourself – companies talking about AI “teams,” large language models (LLMs) coordinating with each other, and startups building tools where multiple agents plan, debate, and execute tasks without constant supervision. It’s a big change from the single-model setups most of us got used to. According to market reports, the global multi-agents market will cross $375 billion by 2034, driven by manufacturing, BFSI, healthcare,…

Imagine having a mirror that doesn’t just reflect how things look but also reveals how they feel, behave, and change over time. Now picture that this mirror exists in a digital world. Perfectly synced with the physical one, showing you every change in machines, buildings, or entire cities – all in real time. This is what digital twin technology promises to offer – a living, breathing virtual replica that lets us explore, experiment, and foresee the future of physical things without ever touching them. What I find remarkable about this tech is how it breaks the boundaries between the tangible and intangible,…

The way I see it, RAG (Retrieval-Augmented Generation) is changing how we look at enterprise search. Instead of forcing people to think in keywords and click through endless result pages, I can ask a plain-language question and get an answer that draws directly from my company’s documents, policies, and data-complete with context and citations. That shift from “hunt for the right file” to “have a conversation with your knowledge” is where the impact of RAG shows up for me: less friction, more trust, and a search experience that finally feels as smart as the rest of the tech stack. In…

If you’ve followed the buzz around AI, you’ve probably heard of large language models like GPT-4 or BERT making waves by processing heaps of text in the cloud. But what if I told you that there’s a quieter, more personal revolution happening right inside your devices? Small Language Models, or SLMs, are reshaping how AI lives on our phones, laptops, and other gadgets without always needing to call on remote servers. This shift toward on device AI is subtly changing the way we interact with technology, making things faster, more private, and often more efficient.  In this post, I’ll discuss what are…

Ever wondered how to use Microsoft Copilot to make your daily work easier across every Microsoft tool? Microsoft Copilot is a handy AI sidekick woven throughout the Microsoft ecosystem, ready to assist you wherever you work. If you use Windows, Word, Excel, PowerPoint, Outlook, Edge, or even the mobile Office apps, Copilot can help you write, find, automate, and organize almost anything, right within the tools you already use. In this post, I’ll discuss how to use Microsoft Copilot, what it offers, how to get started, Microsoft Copilot benefits, and the smart ways you can use it for better results.​…

Gemini for Google Workspace has gotten a lot of folks talking, and for good reason. There’s been a flood of AI tools aimed at workplace productivity, but Gemini bundles Google’s smartest assistant features right inside the core Workspace apps where teams already live. For anyone feeling stretched thin or facing growing admin demands, that’s a compelling promise: effortlessly draft, summarize, plan, analyze, and schedule – right in Gmail, Docs, Sheets, Meet, and beyond. In this post, I’ll walk you through everything you need to know about Gemini for Google Workspace, features, pricing, how to enable Gemini in Google Workspace, and…

Swarm intelligence is pulling lessons straight from nature’s playbook, using smart collaboration to sidestep the limits of centralized AI. It’s interesting to see the rise of this distributed approach, where simple agents work together to tackle challenges that would overwhelm even the strongest standalone system. Think about how a colony of ants finds food, or how a flock of birds turns in perfect harmony. There’s no leader– just countless small actions, local decisions, and shared signals that create astonishing group results. That’s swarm intelligence at work in nature, and it’s now becoming a blueprint for the next generation of decentralized…

Ambient intelligence isn’t something you’ll see at a single glance, but it’s shaping the way our world feels – quietly, often behind the scenes. When I first encountered the concept, I realized that it’s quite intriguing: the ambient technology blends so naturally into daily life, it barely draws attention. I’ve seen that most people notice smart devices, but rarely pause to ask how their environment itself adjusts to their needs. Ambient intelligence, or AmI, is about creating spaces where digital tools work silently and seamlessly, anticipating people’s preferences and reacting to their presence intuitively. In this post, I’ll walk you…

Communication is a shared human need. Yet, for the deaf community, barriers often make this basic need harder to fulfill. When spoken conversation dominates education, employment, and healthcare, accessibility becomes a matter of equity. That’s the gap Mehdi Masoum set out to close with Deaf AI – a research-driven initiative using artificial intelligence to translate sign language in real time and make technology inclusive for everyone.​ In this post, I’ll discuss what is sign language interpretation, what is Deaf AI, the features, the tech behind it, and what we know so far. Key Takeaways What is Sign Language Interpretation? Sign language…