From Google DeepMind · 20 stories
Google Launches Faster AI Models for Image and Video: Nano Banana 2 Lite and Gemini Omni Flash
Google announced the launch of Nano Banana 2 Lite and Gemini Omni Flash, models designed to enhance multimedia processing efficiency. Nano Banana 2 Lite focuses on low-cost, fast image generation, while Omni Flash offers advanced video generation and editing. Available across Google platforms, these models aim to streamline creative workflows for developers and businesses using AI-generated content.
Google DeepMind announces $10M funding for multi-agent AI safety research
Google DeepMind has announced a new funding initiative of up to $10 million for research on multi-agent AI safety. This funding aims to understand and manage the risks associated with interactions among AI agents as they become more widespread, which is critical for ensuring safety and predictability in AI systems.
Google Gemini 3.5 Live Translate Offers Real-Time Voice Translation
Google has launched Gemini 3.5 Live Translate, enhancing speech-to-speech translation for over 70 languages. The model allows for continuous translation without pauses, significantly improving real-time multilingual communication.
Gemma 4 12B Boosts Multimodal AI Processing on Laptops
Google DeepMind introduced Gemma 4 12B, a new encoder-free multimodal AI model, enabling advanced processing on laptops with minimal memory. Gemma 4's architecture eliminates multimodal encoders, creating efficient audio and visual input processing. Collaboration with Cerebras and Hugging Face enhances real-time speech-to-speech capabilities, improving applications like voice assistants.
Gemini 3.5 Flash Integrates Built-In Computer Use Tool
Gemini 3.5 Flash now includes a built-in computer use feature, enhancing automation and testing tasks for developers. This integration allows for improved functionality in various environments and addresses prompt injection risks through training and enterprise safeguards.
UK government partners with AI for faster house-building planning
The UK government is developing an AI tool with Google DeepMind to reduce householder application processing times by 50%. This prototype aims to alleviate bottlenecks in local planning authorities, facilitating the construction of 1.5 million new homes by 2029.
Google's AI Control Roadmap Enhances Security for AI Systems
Google introduces its AI Control Roadmap to safeguard AI agents against risks from imperfect alignment. This framework aims to ensure security and reliability in AI deployment, treating AI agents as potential insider threats.
DiffusionGemma Model Achieves 4x Faster Text Generation
DiffusionGemma, a new 26B Mixture of Experts model, enables text generation up to 4x faster than traditional autoregressive models. Targeted at researchers, it aims to improve speed for interactive workflows despite lower output quality than its predecessor, Gemma 4.
Google DeepMind Launches AI Accelerator Programs in Singapore and Europe
Google DeepMind has announced AI-driven initiatives in Singapore and Europe. In Singapore, the focus is on healthcare, education, and workforce development as part of a national partnership, aiming to contribute S$3.3 billion to the economy by 2040. In Europe, a three-month robotics accelerator will support startups in developing AI applications in the physical world.
AI Augments Learning in Sierra Leone, Showing Significant Student Gains
A trial in Sierra Leone demonstrates that AI, through the Guided Learning approach, enhances student understanding without replacing teachers. Students improved their math scores significantly, showcasing the potential of AI in educational settings.
Co-Scientist accelerates genetic research to reverse cellular aging
Biologists Omar Abudayyeh and Jonathan Gootenberg utilize Co-Scientist to identify genetic pathways that could reverse cellular aging. The tool significantly reduces both the lead generation process and data analysis time, facilitating more efficient aging research.
Project Genie adds Google Street View capabilities for virtual environments
Google's Project Genie now incorporates Google Street View imagery, enhancing its ability to create interactive virtual environments. This update allows users to generate imaginative worlds based on real-world locations, expanding the simulation possibilities for AI and users alike.
Gemini Omni Launches for Advanced Video Creation and Editing
Gemini Omni has been introduced as a multimodal AI model that can generate and edit videos using images, audio, and text input. The initial rollout includes the Gemini Omni Flash model, which enhances video editing by allowing users to edit through natural language commands.
Google Launches Gemini for Science to Enhance Scientific Research
Google introduced Gemini for Science, a suite of AI tools aimed at enhancing scientific research. This collection includes prototypes for hypothesis generation, computational discovery, and literature insights, facilitating faster and more efficient scientific exploration.
Expanded tools for content transparency in generative media
New content transparency and verification tools have been launched across various platforms. This enhancement aims to help users understand the origin and authenticity of generative media content.
Researcher uses AI to identify targets in infectious disease study
Professor Clare Bryant utilized the AI tool Co-Scientist to identify molecular switches linked to infectious diseases. This approach has accelerated her research timeline from two to three years to potentially six months.
Calico Life Sciences employs AI for novel aging research hypotheses
Calico Life Sciences is using its AI tool, Co-Scientist, to analyze biological data on aging. By improving the identification of valuable hypotheses, this approach facilitates advancements in understanding the integrated stress response and its implications for health and disease.
University of Edinburgh Uses Co-Scientist to Advance Liver Disease Research
The University of Edinburgh is leveraging Co-Scientist to analyze literature on metabolic dysfunction-associated steatohepatitis (MASH) for better treatment hypotheses. The platform identified the NLRP3 inflammasome as a key factor linking inflammation and metabolism, potentially guiding dual-therapy development.
Co-Scientist bridges labs in innovative ALS research collaboration
Ritu Raman and Ryan Flynn collaborate to investigate ALS using Co-Scientist, merging their unique methodologies. This integration aims to explore RNA-based mechanisms for potential therapeutic approaches to ALS.
AI aids discovery of repurposed drugs to combat liver fibrosis
Research led by Gary Peltz at Stanford utilizes Co-Scientist to identify existing drugs for liver fibrosis treatment. The AI selected promising candidates, including vorinostat, which showed significant efficacy in lab tests.