The Top New Android 16 Features

The Top New Android 16 Features

Another year, another version of Google’s mobile operating system. Android 16 brings a whole new look (Apple also just announced a redesign in iOS 26), more customization options, some chunky security enhancements, and a few welcome accessibility improvements. Android 16 is rolling out to select devices today—these are the new features that caught our eye….

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The DeepSeek R1 update proves it’s an active threat to OpenAI and Google

The DeepSeek R1 update proves it’s an active threat to OpenAI and Google

This week, DeepSeek released an updated version of its R1 model on HuggingFace, reigniting the open-source versus closed-source competition. The updated version, called DeekSeek-R1-0528, has 685 billion parameters, an upgrade from January’s version, which had 671 billion.  Unlike OpenAI and Google’s models, which are famously closed-source, DeepSeek’s model weights are publicly available. According to the benchmarks,…

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At Google I/O, Sergey Brin makes surprise appearance — and declares Google will build the first AGI

At Google I/O, Sergey Brin makes surprise appearance — and declares Google will build the first AGI

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More At Google I/O this week, amid the usual parade of dazzling product demos and AI-powered announcements, something unusual happened: Google declared war — quietly — in the race to build artificial general intelligence (AGI). “We fully…

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Announcing Gemma 3n preview: powerful, efficient, mobile-first AI- Google Developers Blog

Announcing Gemma 3n preview: powerful, efficient, mobile-first AI- Google Developers Blog

Following the exciting launches of Gemma 3 and Gemma 3 QAT, our family of state-of-the-art open models capable of running on a single cloud or desktop accelerator, we’re pushing our vision for accessible AI even further. Gemma 3 delivered powerful capabilities for developers, and we’re now extending that vision to highly capable, real-time AI operating…

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A Step-by-Step Coding Guide to Efficiently Fine-Tune Qwen3-14B Using Unsloth AI on Google Colab with Mixed Datasets and LoRA Optimization

A Step-by-Step Coding Guide to Efficiently Fine-Tune Qwen3-14B Using Unsloth AI on Google Colab with Mixed Datasets and LoRA Optimization

Fine-tuning LLMs often requires extensive resources, time, and memory, challenges that can hinder rapid experimentation and deployment. Unsloth AI revolutionizes this process by enabling fast, efficient fine-tuning state-of-the-art models like Qwen3-14B with minimal GPU memory, leveraging advanced techniques such as 4-bit quantization and LoRA (Low-Rank Adaptation). In this tutorial, we walk through a practical implementation…

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