Empowering India’s next generation of innovators with ATL Saathi

Google DeepMind · 2 days ago

Google and India's Atal Innovation Mission launched ATL Saathi, a Gemini-powered AI assistant designed to support educators at Atal Tinkering Labs that serve over 1.1 crore students across India. The pilot program is rolling out to 100 schools initially, with the assistant offering features including curriculum-aligned project generation, multilingual support across 8 languages, and automated creation of training materials like infographics and quizzes. The tool aims to reduce teachers' administrative workload and enable them to focus on mentoring students in robotics, 3D printing, and IoT innovation.

Google DeepMind and A24 announce first-of-its-kind research partnership

Google DeepMind · 1 week ago

Google DeepMind and A24 announced a research partnership to develop new filmmaking tools and workflows through collaboration between the AI lab and the film studio. Google has made an investment in A24, though the specific amount was not disclosed. The partnership will have filmmakers work directly with DeepMind researchers to shape AI technology for creative applications and expand storytelling capabilities.

Start building with Nano Banana 2 Lite and Gemini Omni Flash

Google DeepMind · 2 weeks ago

Google released Nano Banana 2 Lite, an image generation model, and made Gemini Omni Flash available to developers for video generation and editing. Nano Banana 2 Lite generates images in 4 seconds at a cost of $0.034 per 1,000 images, while Gemini Omni Flash costs $0.10 per second of video output. Developers can now chain both models together to rapidly generate images and convert them into animated videos within a single workflow.

Introducing computer use in Gemini 3.5 Flash

Google DeepMind · 3 weeks ago

Google integrated computer use capabilities directly into Gemini 3.5 Flash, allowing developers to build agents that can interact with browsers, mobile apps, and desktop environments. Previously available only as a separate Gemini 2.5 model, computer use is now a native feature accessible through the Gemini API and Gemini Enterprise Agent Platform. Developers can now automate tasks like continuous software testing and knowledge work across professional applications with improved performance on long-horizon enterprise automation workflows.

Unlocking UK house-building with AI-accelerated planning

Google DeepMind · 4 weeks ago

Google DeepMind is partnering with the UK government to develop an AI-powered planning tool that assists local councils in processing housing applications. The prototype, built with Gemini, aims to reduce planning application decision times by 50%, with trials beginning in Barnet, Camden, and Dorset before nationwide rollout in 2027. Planning officers will retain final decision-making authority while the tool automates data extraction, policy identification, and report drafting to free up time for complex cases.

Securing the future of AI agents

Google DeepMind · 4 weeks ago

Google developed an AI Control Roadmap framework to secure AI agents deployed internally by treating them as potentially misaligned systems that require defense-in-depth security beyond traditional alignment methods. The framework analyzes a million coding agent trajectories to identify behavioral patterns and scales monitoring from asynchronous review for low-risk actions to real-time prevention for high-risk threats like cyber attacks. This approach allows Google to grant AI agents incremental access based on verified behavior while maintaining oversight, similar to how a driving instructor retains control over a student driver.

DiffusionGemma: 4x faster text generation

Google DeepMind · 1 month ago

Google released DiffusionGemma, a 26B experimental text generation model that generates entire blocks of text simultaneously instead of sequentially, achieving up to 4x faster inference on GPUs. The model produces over 1000 tokens per second on a single NVIDIA H100 GPU and activates only 3.8B parameters during inference despite having 26B total parameters. DiffusionGemma trades output quality for speed and is designed for local, interactive workflows like real-time code editing and rapid iteration, while standard Gemma 4 models remain recommended for production applications requiring maximum quality.

Investing in multi-agent AI safety research

Google DeepMind · 1 month ago

Google DeepMind, Schmidt Sciences, the Cooperative AI Foundation, and ARIA announced $10 million in research funding to study safety risks that emerge when multiple AI agents built by different organizations interact with each other. The application deadline is August 8, 2026, with results announced in Autumn 2026. The funding aims to develop frameworks for understanding and controlling unpredictable collective behaviors that arise in large-scale multi-agent systems, which existing safety evaluations conducted on individual models cannot address.

Fluid, natural voice translation with Gemini 3.5 Live Translate

Google DeepMind · 1 month ago

Google released Gemini 3.5 Live Translate, an audio model that performs speech-to-speech translation with minimal delay across over 70 languages while preserving speakers' intonation and pacing. The model operates with a latency of just a few seconds behind the speaker and automatically detects languages without manual configuration, enabling translation across more than 2,000 language combinations. The feature is rolling out to developers via API, enterprise users in Google Meet, and all Android and iOS users through Google Translate and a new listening mode.

Introducing Gemma 4 12B: a unified, encoder-free multimodal model

Google DeepMind · 1 month ago

Google released Gemma 4 12B, a multimodal model that processes images and audio directly without separate encoders, designed to run on laptops with 16GB of RAM. The model delivers performance comparable to Google's larger 26B model while requiring less than half the memory footprint. Developers can now build multimodal and agentic applications locally on consumer hardware without cloud dependencies.

Powering the future of robotics in Europe

Google DeepMind · 1 month ago

Google DeepMind selected 15 European robotics startups for a three-month accelerator program providing mentorship and access to AI tools and expertise. The program runs for 3 months and includes access to Google's AI stack and Gemini robotics models. Selected companies will receive hands-on support to develop physical AI applications across logistics, manufacturing, healthcare, and other sectors.

Measuring the impact of learning with AI in Sierra Leone and beyond

Google DeepMind · 1 month ago

A trial in Sierra Leone found that students using Google's Gemini-powered Guided Learning tool alongside teacher instruction improved their math scores by 0.258 standard deviations compared to a control group, equivalent to 1.2 to 1.7 years of typical learning progress over eight weeks. Students in classrooms where teachers integrated the tool into roughly half their lessons saw even larger gains of 1.8 to 2.5 years of progress, with 69% meeting or exceeding usage targets and skill-building queries rising from 68% to 90% across the trial period. The results suggest AI can extend teacher capacity when designed to encourage problem-solving over direct answers, though the largest benefits accrued to students who already had stronger foundational skills.

We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks

Google DeepMind · 1 month ago

Google DeepMind is launching an accelerator program in Asia-Pacific to help organizations use AI to address environmental challenges across climate, agriculture, energy, and nature conservation. The three-month program begins with an in-person bootcamp in Singapore and will provide selected startups, research teams, and nonprofits with mentorship and access to Google's frontier AI models. Participating organizations will receive support to integrate AI into their environmental solutions and scale their work across the region.

Fast-tracking genetic leads to reverse cellular aging

Google DeepMind · 1 month ago

Biologists Omar Abudayyeh and Jonathan Gootenberg are using an AI system called Co-Scientist to identify genetic pathways that reverse cellular aging by screening thousands of genes and analyzing experimental results. The AI scanned tens of thousands of scientific papers to propose more than 20 novel genetic factors to test, with lab validation confirming that several of its recommendations successfully drove cells toward a younger state. The analysis time for large genetic screens dropped from six months to a few days, allowing the research team to identify and pursue promising aging-reversal candidates much faster.

Simulate real-world places with Project Genie and Street View

Google DeepMind · 1 month ago

Google has connected its Genie world-generation model with Street View imagery, allowing users to create interactive virtual environments anchored in real-world locations. The capability launches today for Google AI Ultra subscribers at $200 per month, initially covering places across the U.S. with plans to expand later. Users can now generate imaginative scenes based on actual locations—such as exploring the Golden Gate Bridge underwater or the Fort Worth Stockyards in the 1920s—by selecting a real place and creative style before describing their character.

Introducing Gemini Omni

Google DeepMind · 1 month ago

Google released Gemini Omni Flash, a video generation model that accepts images, audio, video, and text as inputs and allows users to edit videos through natural language commands. The model is rolling out today to all Google AI Plus, Pro, and Ultra subscribers through the Gemini app and Google Flow, with free access launching this week on YouTube Shorts and YouTube Create. Users can now generate videos with consistent characters and realistic physics, edit specific elements conversationally, and create content from mixed input types while all outputs receive SynthID digital watermarks for verification.

Gemini for Science: AI experiments and tools for a new era of discovery

Google DeepMind · 1 month ago

Google introduced Gemini for Science, a collection of experimental AI tools including Hypothesis Generation, Computational Discovery, and Literature Insights designed to accelerate scientific research across disciplines. The tools are built on existing AI systems like Co-Scientist and AlphaEvolve, with validation papers published today in Nature, and enterprise partners like BASF and Bayer Crop Science already using them in private preview. Researchers can now access these experiments through Google Labs, while Science Skills—integrating data from over 30 life science databases—enables analyses that previously took hours to be completed in minutes.

Making it easier to understand how content was created and edited

Google DeepMind · 1 month ago

Google is expanding tools across Search, Gemini, Chrome, Pixel, and Cloud to help users identify AI-generated content and track how media has been created or edited. The company has watermarked over 100 billion images and videos and 60,000 years of audio using SynthID technology, with SynthID verification already used 50 million times globally in Gemini. Content Credentials verification is rolling out in Gemini today and coming to Search and Chrome in the coming months, while Google is also launching an AI Content Detection API on Google Cloud to help businesses identify synthetic media.

Strengthening Singapore’s AI Future: A New National Partnership

Google DeepMind · 1 month ago

Google DeepMind is launching new programmes in Singapore as part of a national partnership with the Singapore Government to apply frontier AI to healthcare, education, and scientific research. The partnership aims to create an additional S$3.3 billion in economic value through faster R&D by 2040, with initial applications including AI co-clinician research, pandemic preparedness initiatives, and Gemini access for all educators from primary schools to junior colleges. The expanded presence will support public sector transformation, workforce development, and responsible AI deployment across the Asia-Pacific region.

Finding the molecular switches behind new infectious diseases

Google DeepMind · 1 month ago

Researchers at Cambridge are using an AI tool called Co-Scientist to identify molecular mechanisms that cause severe disease when pathogens jump from animals to humans. Professor Clare Bryant's lab tested the tool on flu research and found it could narrow experimental focus from candidate proteins down to specific amino acids in six months instead of the typical two to three years. If the AI-guided approach identifies the correct targets, this could accelerate the discovery of intervention points to prevent zoonotic disease severity in humans.

Opening new paths in aging research

Google DeepMind · 1 month ago

Calico Life Sciences used an AI tool called Co-Scientist to analyze aging research literature and generate testable hypotheses about how cells protect themselves against stress. The team applied this approach to study the integrated stress response, a cellular mechanism that changes with age, and designed experiments based on AI-generated hypotheses that produced novel findings. The results will be published and may inform understanding of how cellular stress response contributes to aging-related diseases.

Accelerating discovery of liver disease mechanisms

Google DeepMind · 1 month ago

A biomedical team at the University of Edinburgh used an AI system called Co-Scientist to identify overlooked biological connections in metabolic dysfunction-associated steatohepatitis (MASH), a liver disease involving multiple intertwined processes. The AI synthesised evidence across liver biology and pharmacology to propose that the NLRP3 inflammasome links inflammation and metabolism in MASH, a connection that had not previously been integrated into a single explanation. This hypothesis, later experimentally verified, could enable the development of targeted combination therapies for patients who do not respond to existing single-target drugs like resmetirom.

Uniting biological toolkits for a new approach to ALS

Google DeepMind · 1 month ago

Ritu Raman and Ryan Flynn are collaborating on ALS research by combining their separate expertise in tissue engineering and RNA biology, facilitated by an AI tool called Co-Scientist. Co-Scientist helped Raman rapidly synthesize months of fragmented ALS literature and generate testable hypotheses for her tissue models within weeks. Their combined approach now targets RNA-based mechanisms at cell surfaces as potential therapeutic avenues for ALS.

Uncovering repurposed medicines to fight liver fibrosis

Google DeepMind · 1 month ago

Researchers at Stanford University used an AI tool called Co-Scientist to identify existing medicines that could treat liver fibrosis, a scarring condition that kills over 1.4 million people annually. When tested against human liver cells, two of three AI-selected drug candidates blocked fibrosis progression, while the cancer drug vorinostat blocked 91% of a damage response driving liver scarring. The findings suggest that drugs altering gene activity patterns warrant clinical investigation as potential treatments for the condition.

How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica

Google DeepMind · 1 month ago

The National Hurricane Center used Google DeepMind's WeatherNext AI model to predict Hurricane Melissa would reach Category 5 strength in Jamaica five days in advance with 80% confidence, marking the first time a storm was successfully predicted to reach that intensity from such weak initial conditions. The five-day lead time allowed Jamaica's Meteorological Service to coordinate evacuations and resource mobilization before the October 2025 landfall. Early warnings enabled officials to reduce harm to communities and protect livelihoods that would otherwise have been lost.

Gemini 3.5: frontier intelligence with action

Google DeepMind · 1 month ago

Google released Gemini 3.5 Flash, a model designed to execute complex agentic workflows and coding tasks. The model achieves 76.2% on Terminal-Bench 2.1 coding benchmarks and processes output 4 times faster than other frontier models while costing less than half as much. The model is now available globally via the Gemini app, Google Search, and developer platforms, with Gemini 3.5 Pro launching next month.

Co-Scientist: A multi-agent AI partner to accelerate research

Google DeepMind · 2 months ago

Google DeepMind released Co-Scientist, a multi-agent AI system built with Gemini that generates, debates, and refines scientific hypotheses across life sciences and other fields. The system uses six specialized agents plus a supervisor to iteratively explore research directions through cycles of idea generation, peer-review-style critique, and hypothesis refinement, with the majority of computation dedicated to verifying claims against scientific literature and databases. Researchers can register to access Co-Scientist through a new tool called Hypothesis Generation, with rollout beginning in the coming weeks and enterprise access via Google Cloud planned for expansion.

AlphaEvolve: How our Gemini-powered coding agent is scaling impact across fields

Google DeepMind · 2 months ago

Google's AlphaEvolve, a Gemini-powered coding agent that designs and optimizes algorithms, has expanded beyond mathematics and computer science into genomics, power grid optimization, quantum physics, and commercial applications across multiple industries. The system achieved a 30% reduction in DNA sequencing errors, increased electricity grid optimization feasibility from 14% to 88%, and helped Klarna double its model training speed while improving quality. AlphaEvolve is now available through Google Cloud as a commercial tool, shifting algorithm optimization from months-long manual efforts to automated discovery across scientific research and enterprise software.

Enabling a new model for healthcare with AI co-clinician

Google DeepMind · 2 months ago

Google DeepMind announced an AI co-clinician research initiative designed to work alongside physicians in patient care rather than replace clinical judgment. In evaluation of 98 primary care queries, the system recorded zero critical errors in 97 cases and outperformed other AI systems on medication knowledge benchmarks. The AI performed comparably to primary care physicians in 68 of 140 assessed consultation skill areas during simulated telemedical encounters, with ongoing trials across the US, India, Australia, and other regions.

Announcing our partnership with the Republic of Korea

Google DeepMind · 2 months ago

Google DeepMind announced a partnership with South Korea's Ministry of Science and ICT to deploy AI models and establish an AI Campus in Seoul for collaboration with Korean research institutions. The partnership will provide access to models like AlphaFold (already used by 85,000 Korean researchers), AlphaGenome, and WeatherNext, with initial focus on life sciences, energy, and climate research. The initiative will also offer internship opportunities for Korean students and involve collaboration with South Korea's AI Safety Institute on frontier AI safety research.

Decoupled DiLoCo: A new frontier for resilient, distributed AI training

Google DeepMind · 2 months ago

Google introduced Decoupled DiLoCo, a distributed training architecture that divides large language model training across separate compute clusters with asynchronous data flow instead of requiring tight synchronization across thousands of chips. The system trained a 12 billion parameter model across four U.S. regions using only 2-5 Gbps of bandwidth while achieving training more than 20 times faster than conventional synchronization methods. The approach enables AI training to tolerate hardware failures in isolated clusters without interrupting overall progress, and allows mixing different hardware generations in a single training run.

Partnering with industry leaders to accelerate AI transformation

Google DeepMind · 2 months ago

Google DeepMind is partnering with Accenture, Bain & Company, BCG, Deloitte, and McKinsey to help enterprises adopt AI technology at scale across finance, manufacturing, retail, media and entertainment. Currently only 25% of organizations have successfully moved AI into production at scale, despite AI's potential to contribute $15.7 trillion to the global economy by 2030. The partners will gain early access to Google DeepMind's frontier models including Gemini, direct engagement with technical talent, and support developing industry-specific AI solutions.

Gemini 3.1 Flash TTS: the next generation of expressive AI speech

Google DeepMind · 3 months ago

Google introduced Gemini 3.1 Flash TTS, a text-to-speech model that adds granular audio tags allowing developers to control vocal style, pace, and delivery through natural language commands. The model achieved an Elo score of 1,211 on the Artificial Analysis TTS leaderboard and supports over 70 languages with native multi-speaker dialogue. Developers can now export precise voice parameters as API code, enabling consistent character voices across projects while all generated audio includes SynthID watermarking for AI-content detection.

Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning

Google DeepMind · 3 months ago

Google released Gemini Robotics-ER 1.6, an upgraded AI model designed to help robots understand and reason about their physical environments for tasks like navigation and equipment monitoring. The model improves spatial reasoning capabilities including pointing accuracy, multi-view success detection, and a new ability to read analog gauges and digital instrument displays with sub-tick accuracy. Developers can now access the model via the Gemini API and Google AI Studio, with the system showing 6-10% improvement over previous versions in identifying physical safety hazards.

Gemma 4: Byte for byte, the most capable open models

Google DeepMind · 3 months ago

Google released Gemma 4, an open-source model family in four sizes designed for reasoning and agentic workflows. The 31B dense model ranks third on Arena AI's text leaderboard and the 26B mixture-of-experts model ranks sixth, outperforming models 20 times larger. Developers can now run frontier-class reasoning on consumer hardware, from Android phones to laptop GPUs, under a commercially permissive Apache 2.0 license.

Reimagining the mouse pointer for the AI era

Google DeepMind · 3 months ago

Google is developing an AI-powered mouse pointer that understands context from what users point at, allowing them to request actions across any application without switching windows. The system works in Chrome starting today and will arrive in Googlebook laptops soon, using Gemini to interpret visual and semantic context from a user's pointer position. This eliminates the need for detailed text prompts, replacing them with simple gestures and natural speech like "Fix this" or "Show me directions."

Gemini 3.1 Flash Live: Making audio AI more natural and reliable

Google DeepMind · 3 months ago

Google released Gemini 3.1 Flash Live, an audio and voice model designed for real-time conversations with improved precision and lower latency. On ComplexFuncBench Audio, the model scored 90.8% compared to its predecessor, and Gemini Live users can now maintain conversations for twice as long as before. The model is available to developers via API preview, enterprises through Gemini Enterprise, and consumers via Gemini Live and Search Live, which now operates in over 200 countries.

Protecting people from harmful manipulation

Google DeepMind · 3 months ago

Google released the first empirically validated toolkit to measure how AI models can manipulate human beliefs and behaviors through deceptive tactics in realistic scenarios. The study involved over 10,000 participants across the UK, US, and India, with AI showing varying success rates depending on domain—least effective on health topics and more effective on financial decision-making. Google is integrating harmful manipulation evaluations into its Frontier Safety Framework and will test future models like Gemini 3 Pro using these new benchmarks.

Lyria 3 Pro: Create longer tracks in more

Google DeepMind · 3 months ago

Google released Lyria 3 Pro, an advanced music generation model that creates tracks up to 3 minutes long with structural awareness of musical elements like intros, verses, choruses, and bridges. The model is now available across multiple Google products including Vertex AI, Google Vids, the Gemini app, and ProducerAI, with rollouts starting this week for Workspace customers and AI Pro subscribers. Developers and music professionals can now integrate the technology into creative tools and production workflows to generate custom soundtracks and accompaniment at scale.

Measuring progress toward AGI: A cognitive framework

Google DeepMind · 3 months ago

Google DeepMind released a cognitive framework for measuring progress toward artificial general intelligence, drawing on psychology and neuroscience research to identify 10 key cognitive abilities including perception, reasoning, memory, and social cognition. The company is launching a Kaggle hackathon with $200,000 in prize money running from March 17 through April 16 to build evaluations for five abilities where measurement gaps are largest: learning, metacognition, attention, executive functions, and social cognition. The framework will allow researchers to benchmark AI system performance against human baselines across cognitive tasks to track incremental progress toward AGI.

From games to biology and beyond: 10 years of AlphaGo’s impact

Google DeepMind · 4 months ago

AlphaGo defeated world champion Lee Sae Dol at Go in 2016, marking the beginning of modern artificial intelligence and demonstrating that AI could discover novel strategies beyond human expertise. The system's techniques have since been applied to protein folding (AlphaFold 2 solved a 50-year challenge and now serves over 3 million researchers), mathematical reasoning (achieving silver-medal performance at the International Mathematical Olympiad in 2024), and algorithm discovery (AlphaEvolve found novel matrix multiplication methods). These applications are now converging toward artificial general intelligence, with DeepMind integrating AlphaGo's search and planning methods into its Gemini models alongside specialized scientific tools.

Gemini 3.1 Flash-Lite: Built for intelligence at scale

Google DeepMind · 4 months ago

Google released Gemini 3.1 Flash-Lite, a faster and cheaper model in its Gemini 3 series designed for high-volume developer workloads. The model costs $0.25 per million input tokens and $1.50 per million output tokens, with 2.5X faster response times and 45% higher output speed than its predecessor while achieving an Elo score of 1432 on Arena.ai benchmarks. Developers can now build cost-effective real-time applications with adjustable reasoning levels for tasks ranging from translation and content moderation to complex UI generation and instruction-following.

Nano Banana 2: Combining Pro capabilities with lightning-fast speed

Google DeepMind · 4 months ago

Google released Nano Banana 2, an image generation model combining advanced capabilities with faster processing speed across its products. The SynthID verification feature in Gemini app has been used over 20 million times since its November launch to identify AI-generated images. The model rolls out today to Gemini, Search, AI Studio, Google Cloud, Flow, and Google Ads, expanding access to features previously exclusive to the Pro version.

Gemini 3.1 Pro: A smarter model for your most complex tasks

Google DeepMind · 4 months ago

Google released Gemini 3.1 Pro, an upgraded AI model designed for complex reasoning tasks across consumer, developer, and enterprise products. On the ARC-AGI-2 benchmark for solving novel logic patterns, 3.1 Pro achieved 77.1%, more than double the performance of its predecessor 3 Pro. Developers can access the model through the Gemini API and AI Studio, while consumers with Google AI Pro or Ultra subscriptions gain higher usage limits in the Gemini app and exclusive access in NotebookLM.

A new way to express yourself: Gemini can now create music

Google DeepMind · 4 months ago

Google's Gemini app now offers music generation through Lyria 3, its latest model, allowing users to create 30-second tracks by describing ideas or uploading photos. The tool generates lyrics automatically and accepts text or image prompts in eight languages, with tracks embedded with SynthID watermarks to identify AI-generated content. Users can share custom music tracks with friends, and YouTube creators will access the same technology to enhance Shorts videos.

Accelerating discovery in India through AI-powered science and education

Google DeepMind · 4 months ago

Google DeepMind announced a National Partnership for AI with Indian government bodies and institutions to provide access to frontier AI models for scientific research and education. The partnership includes $30 million in grants through the Google.org Impact Challenge: AI for Science, support for 2 million textbooks to be converted into AI-interactive versions across 2,000 schools, and integration of AI tools like AlphaGenome and Earth AI for Indian researchers. The initiative aims to accelerate scientific discovery, improve student learning outcomes, and support India's renewable energy and agriculture sectors.

Gemini 3 Deep Think: Advancing science, research and engineering

Google DeepMind · 5 months ago

Google released an upgraded version of Gemini 3 Deep Think, a specialized reasoning mode designed to solve science, research, and engineering problems, with new availability via the Gemini API for select researchers and enterprises. The model achieved 84.6% on the ARC-AGI-2 benchmark, 48.4% on Humanity's Last Exam, and gold-medal performance on the 2025 International Math and Physics Olympiads. The upgrade enables practical applications including converting sketches into 3D-printable models and allows researchers to access the tool through Google's API for the first time.

Accelerating Mathematical and Scientific Discovery with Gemini Deep Think

Google DeepMind · 5 months ago

Google's Gemini Deep Think mode solved research-level problems in mathematics, physics, and computer science through agentic reasoning workflows guided by expert researchers. The model scored 90% on IMO-ProofBench Advanced tests and autonomously solved four open problems from the Erdős Conjectures database, with results published in peer-reviewed venues including an ICLR '26 acceptance. This shifts scientific workflows by enabling AI to handle knowledge retrieval and proof verification, allowing researchers to focus on conceptual innovation and creative direction.

Project Genie: Experimenting with infinite, interactive worlds

Google DeepMind · 5 months ago

Google has launched Project Genie, an experimental prototype that lets Google AI Ultra subscribers in the U.S. create and explore interactive worlds using text and image prompts. The system generates environments in real time as users move through them, with capabilities including world sketching, exploration, and remixing existing worlds into new versions. The rollout is currently limited to U.S. subscribers aged 18 and over, with expansion to other territories planned.

D4RT: Teaching AI to see the world in four dimensions

Google DeepMind · 5 months ago

Researchers introduced D4RT, an AI model that reconstructs dynamic 3D scenes from 2D video by tracking objects through space and time as a unified system rather than using separate specialized models. The model processes one-minute videos in roughly five seconds on a single TPU chip, performing 18x to 300x faster than previous methods that required up to ten minutes for the same task. This efficiency enables real-time applications in robotics and augmented reality that previously required too much computational power for practical use.

Veo 3.1 Ingredients to Video: More consistency, creativity and control

Google DeepMind · 6 months ago

Google released Veo 3.1 Ingredients to Video, an update to its video generation tool that creates clips from reference images with improved character and background consistency. The tool now supports native 9:16 vertical video format and upscaling to 1080p and 4K resolution, with availability across YouTube Shorts, the Gemini app, Flow, Google Vids, and Vertex AI. Videos generated by the system are embedded with SynthID watermarks and can be verified within the Gemini app to identify AI-generated content.

Google's year in review: 8 areas with research breakthroughs in 2025

Google DeepMind · 6 months ago

Google released Gemini 3 and Gemini 3 Flash in late 2025, advancing AI capabilities in reasoning, multimodal understanding, and mathematical problem-solving across multiple benchmarks. Gemini 3 achieved 23.4% accuracy on MathArena Apex and gold-medal performance at the International Mathematical Olympiad, while Gemini 3 Flash matched Gemini 3 Pro's reasoning quality at lower cost and faster speed. The company expanded AI across products including Pixel phones, Search, and developer tools, and demonstrated applications in drug discovery, protein folding research used by 3 million researchers globally, and flood forecasting now covering 2 billion people across 150 countries.

Gemini 3 Flash: frontier intelligence built for speed

Google DeepMind · 6 months ago

Google released Gemini 3 Flash, a faster and cheaper version of its Gemini 3 model, making it the default model across the Gemini app and AI Mode in Search. The model processes over 1 trillion tokens per day on Google's API, scores 90.4% on GPQA Diamond reasoning benchmarks, runs 3 times faster than its predecessor while costing $0.50 per million input tokens, and uses 30% fewer tokens on average than the prior model. Users globally now access Gemini 3's reasoning capabilities for free, while developers gain a tool for building agentic workflows and interactive applications with high-frequency responsiveness.

Gemma Scope 2: helping the AI safety community deepen understanding of complex language model behavior

Google DeepMind · 6 months ago

Google released Gemma Scope 2, an open-source suite of interpretability tools designed to help researchers understand the internal workings of its Gemma 3 language models. The release includes sparse autoencoders and transcoders trained on every layer of models ranging from 270 million to 27 billion parameters, built using approximately 110 petabytes of data. The tools enable AI safety researchers to debug emergent behaviors, audit AI agents, and develop defenses against jailbreaks, hallucinations, and other failure modes.

Improved Gemini audio models for powerful voice experiences

Google DeepMind · 7 months ago

Google released an updated Gemini 2.5 Flash Native Audio model that improves voice agents' ability to handle complex workflows, follow instructions, and maintain natural conversations. The model achieved a 71.5% score on ComplexFuncBench Audio for multi-step function calling and reached a 90% adherence rate to developer instructions, up from 84%. The update enables live voice agents across Google products and introduces live speech-to-speech translation in Google Translate, supporting over 70 languages while preserving speaker characteristics like intonation and pacing.

Deepening our partnership with the UK AI Security Institute

Google DeepMind · 7 months ago

Google DeepMind expanded its partnership with the UK AI Security Institute through a new Memorandum of Understanding to conduct foundational security and safety research together. The collaboration will include shared access to proprietary models and data, joint publications, and research across three key areas: monitoring AI reasoning processes, understanding social and emotional impacts, and evaluating economic system effects. The partnership broadens joint work beyond testing individual models to include wider collaborative research intended to help governments and industry better understand and mitigate risks from advanced AI systems.

Strengthening our partnership with the UK government to support prosperity and security in the AI era

Google DeepMind · 7 months ago

DeepMind is deepening collaboration with the UK government to deploy AI tools across science, education, public services, and national security. The partnership includes establishing DeepMind's first automated laboratory in the UK in 2026 for materials science research, and a pilot in Northern Ireland showed teachers saved 10 hours per week using Gemini while students receiving AI tutoring were 5.5 percentage points more likely to solve novel problems than those with human tutors alone. The arrangement aims to provide UK scientists priority access to AI models like AlphaEvolve and AlphaGenome while modernizing public services, such as reducing planning document processing time from 2 hours to 40 seconds.

FACTS Benchmark Suite: Systematically evaluating the factuality of large language models

Google DeepMind · 7 months ago

Researchers released the FACTS Benchmark Suite, a new evaluation system comprising 3,513 examples designed to measure how accurately large language models answer factual questions across four categories: parametric knowledge, web search, multimodal reasoning, and grounded responses. Gemini 3 Pro achieved the highest overall FACTS Score of 68.8%, with error rates 55% lower than Gemini 2.5 Pro on search-based questions and 35% lower on parametric questions. The benchmark suite, now hosted on Kaggle, provides a public leaderboard to track LLM factuality improvements over time.

Engineering more resilient crops for a warming climate

Google DeepMind · 7 months ago

Scientists are using AlphaFold to predict enzyme structures and identify modifications that could make photosynthesis more heat-resistant in crops. A hybrid version of the enzyme glycerate kinase remained stable at temperatures up to 65°C, compared to the plant version which destabilizes at lower heat. This could help preserve crop yields as global temperatures rise and heat stress becomes more frequent.

AlphaFold: Five years of impact

Google DeepMind · 7 months ago

AlphaFold, an AI system for predicting protein structures, has been used by over 3 million researchers across more than 190 countries since its 2021 public release. The system has generated predictions for more than 200 million protein structures and been cited in over 35,000 papers, with researchers using it showing a 40% increase in submitting novel experimental structures. The tool has enabled practical applications ranging from developing healthier honeybee populations to revealing the structure of a key heart disease protein, and spawned related AI models for genetic mutation assessment and protein design.

Revealing a key protein behind heart disease

Google DeepMind · 7 months ago

Scientists at the University of Missouri used AlphaFold and cryo-electron microscopy to map the structure of apoB100, the protein that forms the molecular scaffold of low-density lipoprotein (LDL) or "bad cholesterol." Researchers have sought this protein's structure for 50 years due to its size and complexity. The discovery could enable development of more targeted therapies for atherosclerotic cardiovascular disease, the world's leading cause of death.

Google DeepMind supports U.S. Department of Energy on Genesis: a national mission to accelerate innovation and scientific discovery

Google DeepMind · 7 months ago

Google DeepMind is providing its frontier AI models and tools to all 17 U.S. Department of Energy National Laboratories as part of the White House's Genesis Mission to accelerate scientific research. The company is immediately offering AI co-scientist on Google Cloud and plans to add AlphaEvolve, AlphaGenome, and WeatherNext models by early 2026. Scientists will gain access to tools designed to compress research timelines from years to days by generating hypotheses, optimizing algorithms, and processing complex data across fields including drug discovery, materials science, and fusion energy.

How we’re bringing AI image verification to the Gemini app

Google DeepMind · 7 months ago

Google is adding image verification tools to its Gemini app that let users check whether images were created or edited using Google's AI through SynthID watermarking technology. Over 20 billion pieces of content have been watermarked with SynthID since its 2023 introduction, and the detector is now available directly in Gemini for users to upload images and verify their origin. Google plans to expand verification to video and audio formats, integrate C2PA metadata standards across YouTube, Search, and other products, and eventually support verification of content from non-Google AI systems.

Build with Nano Banana Pro, our Gemini 3 Pro Image model

Google DeepMind · 7 months ago

Google released Gemini 3 Pro Image (Nano Banana Pro), an image generation and editing model that offers studio-quality output with advanced creative controls. The model supports up to 4K resolution, handles text rendering with improved accuracy, and can integrate up to fourteen inputs into a single image while maintaining consistency across five individuals. Developers can access it through the Gemini API, Google AI Studio, and Vertex AI, with integrations coming to Adobe and Figma.

Introducing Nano Banana Pro

Google DeepMind · 7 months ago

Google released Nano Banana Pro, an image generation and editing model built on Gemini 3 Pro that offers improved text rendering, better reasoning capabilities, and enhanced creative controls including localized editing and support for blending up to 14 images. The model can maintain consistency across up to 5 people and generate text in multiple languages, and is rolling out globally to Gemini app users, Google Workspace customers, and API developers starting today. Free-tier users receive limited quotas before reverting to the original Nano Banana, while paid subscribers and professionals gain access to higher-quality outputs and advanced studio-level editing features.

Start building with Gemini 3

Google DeepMind · 7 months ago

Google released Gemini 3 Pro, an AI model designed to assist developers with coding and app creation across multiple platforms. The model scores 54.2% on Terminal-Bench 2.0 for tool use and costs $2 per million input tokens through the Gemini API. Developers can now use Gemini 3 Pro in Google AI Studio, Android Studio, and third-party tools like Cursor and GitHub Copilot, with a new Google Antigravity platform enabling autonomous agents to handle complex development tasks.

We’re expanding our presence in Singapore to advance AI in the Asia-Pacific region

Google DeepMind · 7 months ago

Google DeepMind is opening a new research lab in Singapore to expand its presence in the Asia-Pacific region. The company has more than doubled its APAC team over the past year and will focus the Singapore lab on advancing Gemini capabilities, linguistic inclusivity for Asian languages, and collaboration with regional governments and institutions. The expansion aims to tailor AI technologies to serve the diverse needs of Asia-Pacific communities and build on existing applications like using AlphaFold to study Parkinson's disease and developing multilingual AI models for Southeast Asian languages.

A new era of intelligence with Gemini 3

Google DeepMind · 7 months ago

Google released Gemini 3, its latest AI model combining multimodal understanding, reasoning, and agentic capabilities across its product suite. Gemini 3 Pro scored 1501 Elo on the LMArena Leaderboard and achieved 91.9% on GPQA Diamond, while the enhanced Gemini 3 Deep Think mode reached 45.1% on ARC-AGI-2. The model is now available in Search with generative UI features, the Gemini app, developer platforms including the new Google Antigravity, and Vertex AI for enterprises.

WeatherNext 2: Our most advanced weather forecasting model

Google DeepMind · 7 months ago

Google DeepMind and Google Research released WeatherNext 2, an AI weather forecasting model that generates predictions 8 times faster than previous versions with hourly resolution. Each forecast takes less than a minute on a single TPU compared to hours on traditional physics-based supercomputers, and the model outperforms its predecessor on 99.9% of weather variables and forecast lead times. The technology is now integrated into Google Search, Gemini, Pixel Weather, and Maps, with access available through Earth Engine, BigQuery, and Vertex AI for developers and weather agencies.

SIMA 2: An Agent that Plays, Reasons, and Learns With You in Virtual 3D Worlds

Google DeepMind · 8 months ago

Google DeepMind released SIMA 2, an AI agent that can play video games, reason about objectives, and improve itself through self-directed play by integrating Gemini's reasoning capabilities. The agent was trained across commercial video games and demonstrated performance approaching human-level play on tasks it had never encountered before, including untrained games like Minecraft and ASKA. SIMA 2 can now explain its reasoning to users, understand complex instructions in multiple languages, and learn new skills independently without human-generated training data in subsequent iterations.

Teaching AI to see the world more like we do

Google DeepMind · 8 months ago

Researchers developed a method to reorganize how AI vision models represent visual information so they align better with human perception. The technique uses a three-step process involving a teacher model trained on the THINGS dataset of human judgments, which generates millions of synthetic training examples to fine-tune student models. Models trained this way show improved performance on cognitive tasks, few-shot learning, and robustness to image distribution shifts.

How AI is giving Northern Ireland teachers time back

Google DeepMind · 8 months ago

Northern Ireland's C2k program ran a six-month pilot where 100 teachers integrated Google's Gemini and Workspace tools into their classrooms. Each participating teacher reported saving an average of 10 hours per week, with the program capturing over 600 distinct use cases ranging from administrative tasks to creating inclusive lesson content. Following the pilot's success, C2k plans to expand Gemini training across more schools in Northern Ireland.

Mapping, modeling, and understanding nature with AI

Google DeepMind · 8 months ago

Google released three AI tools for ecosystem protection: a deforestation risk prediction model operating at 30-meter resolution, a species range mapping system for over 2 million known species, and an updated bioacoustic classifier called Perch 2.0 for identifying animal vocalizations. The deforestation model analyzed satellite data from 2000-2024 at 1 square kilometer resolution across large regions, while the species mapping pilot has released 23 maps through the UN Biodiversity Lab. These tools enable governments, companies, and conservation groups to collect field data and translate it into protection strategies for threatened ecosystems and wildlife.

Accelerating discovery with the AI for Math Initiative

Google DeepMind · 8 months ago

Google DeepMind launched the AI for Math Initiative, partnering with five prestigious research institutions including Imperial College London and UC Berkeley to develop AI tools for mathematical discovery. The initiative provides access to systems like Gemini Deep Think and AlphaProof, which achieved gold-medal performance on the International Mathematical Olympiad by solving five of six problems, while AlphaEvolve improved solutions on 20% of over 50 open mathematical problems. The partnership aims to create feedback between fundamental research and applied AI to identify new mathematical problems amenable to AI-driven insights and accelerate the pace of discovery.

T5Gemma: A new collection of encoder-decoder Gemma models

Google DeepMind · 8 months ago

Google introduced T5Gemma, a collection of encoder-decoder language models created by converting pretrained decoder-only Gemma 2 models into encoder-decoder architectures through a technique called adaptation. T5Gemma models range from 2B to XL sizes, with a 9B-2B variant that pairs a large encoder with a small decoder to optimize quality-efficiency trade-offs. The adapted models outperform their decoder-only equivalents on reasoning tasks—for example, T5Gemma 2B-2B instruction-tuned achieves a 12-point improvement on MMLU over Gemma 2 2B—and the pretrained and fine-tuned checkpoints are now available on Hugging Face and Kaggle.

MedGemma: Our most capable open models for health AI development

Google DeepMind · 8 months ago

Google released MedGemma 27B Multimodal and MedSigLIP, two new medical AI models designed for healthcare applications involving text, images, and electronic health records. MedGemma 27B scores 87.7% on the MedQA medical knowledge benchmark while requiring approximately one-tenth the inference cost of DeepSeek R1, and can run on a single GPU. Developers can now fine-tune these open models for specific medical tasks like report generation and image classification while retaining full control over privacy and infrastructure.

Introducing Gemma 3n: The developer guide

Google DeepMind · 8 months ago

Google released Gemma 3n, a mobile-focused AI model family designed to run multimodal applications directly on edge devices with minimal memory requirements. The E4B version achieves an LMArena score over 1300, making it the first model under 10 billion parameters to reach this benchmark, while requiring as little as 2GB to 3GB of memory for operation. The model's MatFormer architecture enables developers to extract custom-sized variants between two pre-built sizes, with the E2B sub-model offering up to 2x faster inference than the larger E4B version.

Gemini 2.5 Flash-Lite is now ready for scaled production use

Google DeepMind · 8 months ago

Google released the stable version of Gemini 2.5 Flash-Lite, a lightweight model designed for fast, cost-efficient inference across tasks like translation and classification. The model costs $0.10 per million input tokens and $0.40 per million output tokens, with a 1 million-token context window and support for native tools including grounding with Google Search and code execution. Users can deploy the model by specifying "gemini-2.5-flash-lite" in their code, with Google retiring the preview alias on August 25th.

Behind “ANCESTRA”: combining Veo with live-action filmmaking

Google DeepMind · 8 months ago

Eliza McNitt's short film "ANCESTRA" premiered at the Tribeca Festival using Google DeepMind's Veo video generation model combined with live-action footage, marking the first collaboration between Google DeepMind and director Darren Aronofsky's production venture. Over 200 filmmaking professionals worked alongside AI researchers to blend generated sequences—including a realistic newborn baby and interior body scenes—with traditional cinematography, using Gemini to refine prompts and Veo's new capabilities for motion matching and object insertion. The partnership established new tools for directors to control generative video output through precise motion templates and art direction, reducing production time for complex shots from hours to minutes while maintaining creative control over final sequences.

AlphaEarth Foundations helps map our planet in unprecedented detail

Google DeepMind · 8 months ago

Google released AlphaEarth Foundations, an AI model that consolidates satellite imagery and Earth observation data into unified digital representations for global mapping and monitoring. The system creates summaries requiring 16 times less storage space than competing AI systems while achieving a 24% lower error rate on average across various mapping tasks. Scientists and organizations can now generate detailed, consistent maps on-demand for applications including crop monitoring, deforestation tracking, and ecosystem classification without relying on single satellite passes.

Exploring the context of online images with Backstory

Google DeepMind · 8 months ago

Google introduced Backstory, an experimental AI tool built on Gemini that analyzes online images to determine whether they are AI-generated, where they have previously appeared, and if they have been digitally altered. The tool responds to written prompts about images and generates reports combining AI-detection technologies with contextual information like metadata and usage history. Users can now access additional context about images they encounter online to make more informed assessments of trustworthiness, though the company notes that determining if an image is AI-generated does not automatically indicate whether it is misleading or untrustworthy.

Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad

Google DeepMind · 8 months ago

Google DeepMind's advanced Gemini model with Deep Think solved five of six International Mathematical Olympiad problems, achieving a gold-medal score officially certified by IMO coordinators. The system scored 35 out of 42 points and completed all solutions within the competition's 4.5-hour time limit using only natural language, without requiring human translation into formal languages. This represents a significant advance over last year's AlphaProof and AlphaGeometry system, which solved four problems and required days of computation plus expert intervention to convert between natural and formal languages.

Aeneas transforms how historians connect the past

Google DeepMind · 8 months ago

Researchers released Aeneas, an AI model that helps historians interpret, restore, and contextualize fragmentary ancient Roman inscriptions by identifying textual and contextual parallels. The model was trained on a dataset of 176,000 Latin inscriptions and achieves 73% accuracy when restoring damaged text gaps up to ten characters and 72% accuracy in attributing inscriptions to one of 62 ancient Roman provinces. The tool is freely available to researchers and students at predictingthepast.com, with historians in testing reporting increased confidence and faster identification of parallel texts for their research.

Genie 3: A new frontier for world models

Google DeepMind · 8 months ago

Google DeepMind released Genie 3, a world model that generates interactive 3D environments from text prompts with real-time user control. The system produces consistent 720p environments at 24 frames per second for several minutes of continuous interaction, with visual memory extending back one minute. This enables researchers to train AI agents in simulated worlds and create new applications for education, robotics training, and creative media production.

How AI is helping advance the science of bioacoustics to save endangered species

Google DeepMind · 8 months ago

Google released an updated version of Perch, an AI model that analyzes wildlife audio recordings to help conservationists monitor endangered species like Hawaiian honeycreepers and coral reef ecosystems. The new model was trained on nearly twice as much data as the previous version and can process thousands or millions of hours of audio to identify multiple animal species simultaneously. The updated Perch is now available as an open-source model, and the earlier version has already been downloaded over 250,000 times since its 2023 launch.

Using AI to perceive the universe in greater depth

Google DeepMind · 8 months ago

Researchers developed Deep Loop Shaping, an AI method using reinforcement learning to stabilize gravitational wave detectors at LIGO observatories. The technique reduces noise in the observatory's most unstable feedback loop by 30 to 100 times, allowing mirrors to remain still enough to measure distortions from cosmic events. Applying this across all of LIGO's mirror control systems could enable detection of hundreds more gravitational wave events annually, improving observations of intermediate-mass black holes and other cosmic phenomena.

Gemini achieves gold-medal level at the International Collegiate Programming Contest World Finals

Google DeepMind · 8 months ago

Gemini 2.5 Deep Think solved 10 of 12 problems at the 2025 International Collegiate Programming Contest World Finals, achieving gold-medal level performance. The model completed 8 problems in 45 minutes and 2 additional problems within 3 hours, and was the only competitor to solve Problem C, which required optimizing liquid distribution through interconnected ducts. The result demonstrates AI capability in abstract reasoning and multi-step problem solving, with potential applications in software development, drug design, and microchip engineering.

Discovering new solutions to century-old problems in fluid dynamics

Google DeepMind · 8 months ago

Researchers used physics-informed neural networks to discover new families of unstable singularities in fluid dynamics equations that have resisted mathematical analysis for centuries. The method achieved precision equivalent to predicting Earth's diameter to within a few centimeters, and identified a pattern in the instability parameter lambda across the Incompressible Porous Media and Boussinesq equations. The approach enables computer-assisted mathematical proofs to tackle long-standing unsolved problems in fluid dynamics, including the Millennium Prize Problem of the Navier-Stokes equations.

Strengthening our Frontier Safety Framework

Google DeepMind · 8 months ago

An AI company published the third version of its Frontier Safety Framework, expanding risk assessment categories and refining protocols for identifying severe hazards from advanced models. The update introduces a new Critical Capability Level focused on harmful manipulation and adds Tracked Capability Levels as of April 17, 2026 to catch less extreme risks earlier. The framework now requires safety case reviews before external launches and expands such reviews to large-scale internal deployments of models that could accelerate AI development.

Gemini Robotics 1.5 brings AI agents into the physical world

Google DeepMind · 8 months ago

Google released Gemini Robotics 1.5 and Gemini Robotics-ER 1.5, two models that enable robots to reason, plan, and execute complex multi-step physical tasks in the real world. Gemini Robotics-ER 1.5 achieved state-of-the-art performance across 15 academic embodied reasoning benchmarks, including Point-Bench and ERQA. The models work together as an agentic system where the reasoning model plans high-level tasks and the vision-language-action model executes them, while also learning to transfer skills across different robot embodiments without specialization.

Introducing CodeMender: an AI agent for code security

Google DeepMind · 8 months ago

Researchers introduced CodeMender, an AI agent that automatically detects and fixes software vulnerabilities in code. Over six months, CodeMender generated 72 security patches for open-source projects, including some with 4.5 million lines of code, using reasoning capabilities to identify root causes and validate changes before human review. The tool enables developers to focus on building software while the system handles security patching and proactively rewrites existing code to use more secure APIs and data structures.

Bringing AI to the next generation of fusion energy

Google DeepMind · 8 months ago

Google DeepMind is partnering with Commonwealth Fusion Systems to use artificial intelligence for controlling plasma in fusion reactors, focusing on optimizing the SPARC tokamak machine designed to achieve net energy gain. The collaboration centers on three areas: developing TORAX, a fast plasma simulator built in JAX; using reinforcement learning to find optimal operating parameters; and creating AI-based real-time control systems to manage heat distribution and plasma stability. The partnership aims to accelerate the timeline toward delivering fusion energy to the grid by running millions of virtual experiments before SPARC operation begins.

Try Deep Think in the Gemini app

Google DeepMind · 8 months ago

Google released Deep Think in the Gemini app for AI Ultra subscribers, a reasoning model variant that achieved gold-medal performance at the International Mathematical Olympiad. The version available to subscribers reaches Bronze-level performance on the 2025 IMO benchmark while operating faster than the competition model, with users limited to a fixed number of prompts per day. The tool is designed to help with complex problem-solving tasks including web development, scientific research, and coding challenges through extended reasoning time.

Rethinking how we measure AI intelligence

Google DeepMind · 8 months ago

Google DeepMind and Kaggle launched Game Arena, an open-source benchmarking platform where AI models compete in strategic games to evaluate their capabilities. The platform will host its inaugural chess tournament on August 5 with eight frontier models competing, with final rankings determined by over one hundred matches between each model pair. Game Arena addresses limitations of current benchmarks by using games with clear winning conditions to measure reasoning and planning rather than memorization, with plans to expand to Go, poker, and video games.

Introducing Gemma 3 270M: The compact model for hyper-efficient AI

Google DeepMind · 8 months ago

Google released Gemma 3 270M, a 270-million-parameter compact model designed for task-specific fine-tuning on edge devices and resource-constrained systems. Internal testing on a Pixel 9 Pro showed the INT4-quantized model consumed just 0.75% battery for 25 conversations, making it Google's most power-efficient Gemma model. The release enables developers to build specialized, production-ready AI systems for specific tasks like text classification and data extraction without requiring large general-purpose models.

Image editing in Gemini just got a major upgrade

Google DeepMind · 8 months ago

Google integrated a new image editing model called Nano Banana into the Gemini app, enabling users to edit photos while maintaining consistent appearance of people and pets across multiple versions. The model is described as the top-rated image editing model available, with capabilities including multi-turn editing, photo blending, and style transfer. Users can now apply costume changes, background modifications, and complex edits while preserving specific elements of their photos, with all generated images marked by visible and invisible watermarks.

VaultGemma: The world's most capable differentially private LLM

Google DeepMind · 8 months ago

Google DeepMind released VaultGemma, a 1-billion-parameter language model trained with differential privacy, accompanied by new scaling laws that describe how privacy, compute, and data budgets interact during training. The model was trained with a sequence-level privacy guarantee of (ε ≤ 2.0, δ ≤ 1.1e-10) and showed no detectable memorization of training data in empirical tests. VaultGemma performs comparably to non-private models from approximately five years ago, establishing a baseline for measuring progress as privacy-preserving training methods improve.

Introducing the Gemini 2.5 Computer Use model

Google DeepMind · 8 months ago

Google released Gemini 2.5 Computer Use, a specialized AI model that can interact with graphical user interfaces by clicking, typing, and scrolling through web pages and applications like humans do. The model outperforms leading alternatives on multiple web and mobile control benchmarks while maintaining lower latency. Developers can now build AI agents that automate tasks requiring direct UI interaction, such as form completion and workflow automation, through the Gemini API.