Google Assistant is being phased out in favor of Gemini, Google's new AI. While mobile devices will see the change soon, the smart home transition will be gradual. Learn about the implications for Nest devices, third-party integrations, and what it means for the future of your connected home, including potential benefits and concerns.
Explore fine-tuning large language models (LLMs) like Gemma. This guide covers practical considerations, real-world applications, and strategies, contrasting it with Retrieval-Augmented Generation (RAG). Learn about challenges, techniques (LoRA, quantization), hardware needs, and deployment options, empowering you to tailor LLMs for specific tasks and proprietary data, enhancing performance beyond RAG's limitations.
Google unveils major AI healthcare initiatives, including TxGemma for drug discovery, partnerships with Nvidia and Princess Máxima Center, and advancements in Search, Health Connect, and Pixel Watch. The focus is on open access, collaboration, and user control, signaling a commitment to responsible AI development in medicine and a data-driven, personalized approach to patient care.
Google unveils TxGemma, a specialized branch of its Gemma AI family, designed to accelerate drug discovery. These open-source models understand both text and molecular structures, enabling researchers to predict therapeutic properties, identify drug targets, and repurpose existing therapies. This initiative aims to revolutionize the lengthy and expensive process of drug development.
Google's Gemma 3 1B is a small language model (SLM) designed for mobile and web apps. It's only 529MB, enabling fast downloads and on-device AI. It works offline, ensuring privacy and reducing latency. Ideal for natural language interfaces, it's customizable via fine-tuning and offers significant performance improvements over its predecessor.
Google's Gemma 3 AI model marks a significant advancement, boasting enhanced problem-solving capabilities and remarkable efficiency. Operating on just a single GPU, it reduces energy consumption and cost, making advanced AI more accessible. Gemma 3's development promises to impact various industries, fostering innovation and potentially democratizing AI technology while raising important ethical considerations.
VentureBeat's Emilia David discussed Google's Gemma 3 AI model on CBS News. This model redefines AI by tackling complex challenges with unprecedented efficiency, requiring only a single GPU. It marks a significant leap in AI, democratizing access, accelerating research, and promoting sustainable practices, opening new application possibilities across various industries.
Google DeepMind introduces Gemini Robotics and Gemini Robotics-ER, advanced AI models designed to enhance robot dexterity, spatial understanding, and reasoning. These models represent a significant leap forward, enabling robots to adapt to dynamic environments and perform complex tasks, challenging competitors like Meta and OpenAI in the rapidly evolving field of AI-powered robotics.
Google's 'experimental' Gemini 2.0 Flash AI model demonstrates a surprising capability: removing watermarks from images. This raises concerns about copyright and the ethics of AI-assisted image manipulation, highlighting the need for more robust watermarking techniques. The feature is currently only available to developers, and it is uncertain if it will be released to the public.
This in-depth analysis compares leading AI video generators—Google VEO 2, Kling 1.6, Wan Pro, Halio Minimax, and Lumar Ray 2—evaluating their prompt interpretation, cinematic rendering, and ability to handle complex scenarios. Discover which model best suits your creative needs, based on rigorous testing across diverse and challenging video generation tasks.
