Artificial Intelligence

What if I told you that a piece of software small enough to run on your smartphone is currently outperforming AI models that require massive, room-sized data centers to function? It sounds impossible, but it’s actually happening. A brand-new AI agent has just dropped, and it is absolutely destroying models 263 times bigger than itself. […]

If you thought Large Language Models (LLMs) were only for massive data centers and high-powered GPUs, Google just changed the game. Say hello to FunctionGemma—a specialized, hyper-efficient 270-million parameter model designed to turn natural language into action, right on your local device. Released as part of the Gemma 3 family, FunctionGemma isn’t just another chatbot.

In a groundbreaking advancement, Deepseek 3.2 emerges as the first open-source artificial intelligence model to clinch a gold at the International Math Olympiads. Surpassing giants like OpenAI, this model showcases unparalleled efficiency and ingenuity on a modest budget. Our exploration delves into the innovation and implications of Deepseek 3.2 for the AI landscape. The Making

The AI war just went nuclear. Forget incremental upgrades and predictable patches. This week, Google DeepMind didn’t just release a new model; they released a new era. Gemini 3 Pro is here, and it’s not just about better numbers—it’s about a fundamentally different level of intelligence. But the real game-changer for developers and power users

As a techblogger, I’m constantly on the lookout for tools that genuinely empower developers and streamline workflows. And let me tell you, Google’s Gemini CLI has landed with a splash, bringing the incredible power of Gemini models directly into your command line. If you’re a developer, or just someone who loves the efficiency of the

Gemma 3n is the latest addition to Google’s Gemma family of open models, designed to deliver high performance while maintaining a lightweight footprint. Unlike its predecessors, Gemma 3n employs a unique dual-model architecture, integrating both 5 billion and 8 billion parameter models into a single framework. This design allows for shared layers within the neural

Google I/O 2025 has officially kicked off, and the keynote was packed with major announcements across artificial intelligence, Android, Search, and more. From personalized assistants to real-time translations and virtual try-ons, the company is betting big on AI integration across its ecosystem. Here’s a comprehensive breakdown of the biggest reveals from the event. 🔍 AI

In a significant move that’s set to boost innovation in the AI landscape, Cognizant has open-sourced its Neuro® AI Multi-Agent Accelerator, giving researchers, developers, and academics access to one of the industry’s most sophisticated frameworks for building intelligent agent networks. Why is this such a big deal? Let’s break it down. A Playground for AI

The wait is over, and Llama 4 has finally arrived, shattering expectations with its breathtaking specifications. The latest series from Meta boasts an unprecedented 10 million tokens of context for Llama 4 Scout and a staggering 2 trillion parameters for Llama 4 Behemoth. This article delves into the details of these revolutionary models, exploring their

The world of artificial intelligence (AI) is rapidly evolving, and Google is at the forefront of this revolution. With the introduction of Gemma 3, the latest generation of open models, Google is empowering developers to build responsible AI applications at scale. In this blog post, we’ll delve into the features, capabilities, and possibilities of Gemma