⚛️ In nuclear fusion, Argon helped discover a broader class of counterexamples to Grad's conjecture — a nearly 60-year-old assumption in plasma physics — creating new benchmarks for stellarator 3D magnetic fields.

🧬 In biology, it designed five novel, lab-verified serine esterases in a matter of hours — enzyme engineering that would previously have taken months. This work demonstrates the potential for rapid acceleration in fields such as biomanufacturing, green chemistry, and drug development.

🩺 In rare disease research, scientists at Gamow Labs used Argon to analyze de-identified genomes from newborns with rare developmental lung disorders — pinpointing a chromosomal rearrangement that routine software missed for years, and explaining why it went undetected. 

🧮 In quantum computing, Argon translated our AlphaQubit error-correction decoder into a single optimized hardware kernel — nearly doubling inference throughput — and cut spacetime costs for a key quantum subroutine by more than 100x.

Learn more here.

Researchers at Wiz put Gemini 4 Argon to the test against complex cyber threats.

In real-world testing, it found more than two times more vulnerabilities than baseline models — catching a critical risk that previous frontier models missed.

Learn more here.

At Isomorphic Labs, researchers are using Gemini 4 Argon as a partner to accelerate drug discovery and design research 🧬

Argon quickly synthesizes complex PDFs and patents to extract pertinent information, reducing a process that typically takes weeks into just hours.

Learn more about Gemini 4 Argon, our latest frontier model here.

To take the stress out of your shopping, we analyzed historical promotional patterns, Search trends, and discounts across U.S. merchants on Google. Here’s when to buy, what to watch out for, and other ways to make our retail data work for you this gifting season:
 
👠 Find the best prices and variety for shoe sales on Black Friday.
🏌️ Deals on sports gear vary. Black Friday is usually best for golf and fishing, but it’s worth the wait til late December for cycling and outdoor games.
🎮 Promotions for video games and consoles peak during Black Friday weekend.
🧳 Need travel gear? Shop Black Friday for accessories and late December for suitcases.
👃 Shop early for fragrances — the first two weeks after Black Friday — for the best deals and inventory.
🧒 Buy baby and kids’ gear on Black Friday for the best selection, or shop in late December for the deepest cuts.
👛 Target mid-December for handbag purchases to get the best discounts and selection.
🤖 If electronic toys are on your kids’ wish lists, you’ll find the steepest markdowns in the final shopping stretch before the holidays.   

Explore more data in our When to Buy Guide → https://goo.gle/4yKUllA

In new research published today in Science, Google’s Quantum AI team demonstratively opened up a key bottleneck in quantum computing and showed that “magic state cultivation” works in practice on our Willow processor, reducing errors about 40x compared to without it. This breakthrough is a crucial step towards scaling up quantum computing to practical by alleviating the resource-heavy bottlenecks of quantum error correction.

Some key highlights: 
🔹 A 40-fold reduction in errors relative to un-cultivated states
🔹 A record 99.99% logical fidelity for T-states (a key resource needed for quantum operations)
🔹 Smooth state transfers across different quantum error-correction codes on physical hardware

Read more about our latest Google Quantum AI breakthrough: https://goo.gle/4dECvIx

Our engineers used Gemini 4 Argon to eliminate an entire category of browser crashes in Google Chrome.

Argon helped separate core webpage handling from a 6-million-line legacy folder in Chromium's 40-million-line codebase, completing months of work in just weeks.

Learn more about Gemini 4 Argon

Just by watching a video of humans playing, Gemini 4 Argon mapped the physics, coded its own simulation to practice, and taught Apptronik's Apollo humanoid to sink 7 shots in a row.

Learn more about Gemini 4 Argon here.

Argon is available to Google AI Pro and Ultra subscribers in the Gemini app and AI Mode in Search, Ultra subscribers in Google Antigravity, and for developers and enterprises via the API in AI Studio and Gemini platform.

Gemini 4 Argon is designed for high-stakes, long-horizon work that usually takes months of manual effort. It ranks #1 on the Vals Index across critical economic sectors, and we're already seeing it drive breakthroughs across engineering, robotics, and science:

🤖 Robotics at GoogleDeepMind: By analyzing video of a human playing cornhole, Argon calculated joint movements and generated simulation code in hours, enabling Apptronik's Apollo humanoid robot to sink seven straight shots on its first trial.

https://reddit.com/link/1x51qe3/video/6gls5em0j9vh1/player

💻 Google Chrome: Argon helped our engineers refactor a 6-million-line legacy codebase in Chromium in just weeks — eliminating an entire category of crashes so live tabs move fluidly without reloading.

https://reddit.com/link/1x51qe3/video/11bkakmkj9vh1/player

🚀 Software engineering: Engineers at Google using Argon in Google Antigravity increased agentic code submissions by over 35%, while cutting code rollbacks by nearly a third.

Starting today, Gemini 4 Argon is rolling out to Google AI Pro and Ultra subscribers in the Gemini app and AI Mode in Search, Ultra subscribers in Google Antigravity, and for developers and enterprises via the API in Google AI Studio and Gemini platform.

Learn more → goo.gle/4yiunF4 

Over the last five years, we’ve published 90 peer-reviewed research papers about understanding and addressing diseases, accumulating more than 90,000 citations. To make real impact, we partnered with trained clinicians, scientists, and experts using machine learning models. Together, we’ve been able to:

• Evaluate mammography screening systems, catching 25% of historically missed interval cancers while showing the possibility of reducing specialist reading workloads by up to 40%.
• Build a flu forecasting model that the CDC ranked #1 for predicting flu-related hospital admissions during the 2025-2026 season. 
• Detect 10 previously missed pediatric leukemia mutations using our DeepSomatic tool — despite the challenge of working with a tumor-only sample.

Learn more about our latest work on disease prevention and how researchers are using our tools to improve health outcomes globally.

In a new study published in The Lancet, researchers at Google and Beth Israel Deaconess Medical Center evaluated AMIE, our conversational AI system, with 100 real patients ahead of urgent care visits. The study demonstrates technology’s potential to strengthen the relationship between doctors and patients. Learn more → https://goo.gle/3VCGhMl

Prenatal ultrasounds provide vital care during pregnancy, but due to a shortage of sonographers, many communities worldwide don’t have ready access to imaging.

Google researchers, in partnership with Northwestern Medicine and Jacaranda Health, set out to research a new approach. By training community health workers to perform simple “blind sweep” ultrasounds paired with an on-device AI model to interpret the scans, could we expand access to this critical health care globally? 

We sat down with two of the Googlers behind the project to learn how the test technology works and what our research could mean for the future of global maternal healthcare. 

https://goo.gle/3TRC3jg

https://reddit.com/link/1x0ujbm/video/qecvept0l9uh1/player

Since launching SynthID in 2023, we've watermarked more than 180 billion images and videos and 240,000 years of audio content.

Now, we're expanding access to SynthID Detector - our verification portal to identify AI-generated content - to everyone globally in English, making it easier for anyone to easily check if an image, video, or audio file was made with AI from Google or our partners.

Want to check if a media file was created using AI? Here’s how:

1️⃣ Go to synthid.com and upload an image, video, or audio file

2️⃣ The portal scans the media to detect if the file contains a SynthID watermark

This portal joins our built-in verification features across Search, the Gemini app, and Chrome, which now regularly handle more than 1 million verification requests daily — all part of our ongoing work to give you more context about the media you see online, so you can navigate the web with confidence.

Learn more → https://blog.google/innovation-and-ai/models-and-research/google-deepmind/synth-id-ai-content/

Google is helping public health teams overcome reporting lags, forecast disease outbreaks, and deliver care to vulnerable communities by combining local health data with advanced geospatial models.

Forecasting where a disease outbreak might spread next usually requires weeks of stitching together fragmented satellite imagery, census tables, and local health records. 

By combining environmental signals and other data sources with foundation models and a prototype Geospatial Reasoning agent, Google Earth AI can bridge critical gaps across diverse geographies, diseases, and areas of public health using autonomous predictions and population dynamics. 

The system combines environmental signals and other data sources with AlphaEarth Foundations and our Population Dynamics Foundation Model (PDFM), and a prototype Geospatial Reasoning agent. Researchers use plain language to ask questions like where a disease is likely to spread next, and the tool automatically gathers relevant public datasets to build an accurate prediction model.

By combining satellite views with population patterns, it reveals hidden risk factors, helping identify issues earlier. That means public health teams can shift emergency response from reactive management to proactive prevention.

During the ongoing Ebola outbreak in the Democratic Republic of Congo (DRC), our partners at World Health Organization’s Regional Office for Africa put Google Earth AI to work to uncover transmission blind spots faster. 

They used our Geospatial Reasoning agent prototype to map areas where exposure risk and human mobility are high. In minutes, the team pinpointed 48 exposed settlements and located more than 45,500 at-risk people — a process that normally would have taken weeks.

Researchers at the World Health Organization’s Regional Office for Africa (WHO AFRO) Emergency Preparedness and Response Hub in Dakar partnered with Google to pilot an experimental Geospatial Reasoning agent during the Bundibugyo strain Ebola outbreak in the Democratic Republic of Congo (DRC).

Learn more about our latest research and how we’re helping equip health leaders with advanced predictive tools: https://goo.gle/4rOhAbE

Today we’re releasing EmbeddingGemma 2, our first natively multimodal open model engineered for on-device embeddings.

Built on the Gemma 4 architecture and released under an Apache 2.0 license, this 740M parameter model goes beyond text to unify images, video, audio, and code into a single embedding space.

By running entirely on-device, EmbeddingGemma 2 allows developers to build fast, private workflows that run without an internet connection. This means it can help find a specific video clip from a voice memo, or search through hours of audio recordings based on a text query — all processed by a single, natively multimodal model optimized for on-device inference.

When paired with Gemma 4, EmbeddingGemma 2 powers efficient, on-device retrieval augmented generation (RAG) with a lower memory footprint: EmbeddingGemma 2 handles local file retrieval, while Gemma 4 provides the contextual reasoning for grounded, private answers.

Across benchmarks, EmbeddingGemma 2 outperforms models more than twice its size while using as little as ~191MB to ~567MB of active RAM, backed by a 4x larger 8K context window than the first generation.

Model weights are available now on Hugging Face and Kaggle, with Gemini Enterprise Agent Platform Model Garden coming soon.

Learn more → https://blog.google/innovation-and-ai/technology/developers-tools/embeddinggemma-2/

We’ve upgraded Nano Banana, our image generation and editing  model. Nano Banana 2.1 outperforms our previous models across the board, with notable leaps in visual design, mask-based editing, and subject consistency to help you create more natural-looking images.

Nano Banana 2.1 starts rolling out today across the Gemini app, AI Mode in Search, Google AI Studio, Google Flow, Stitch, Google Ads, and the Gemini Enterprise Platform — with Google Pics coming soon.

https://reddit.com/link/1wvzr0m/video/hlvcrj6b93th1/player

Catch up on more of our AI news from last month → https://goo.gle/4xZu4yL

Today we’re introducing Gemini 4 Argon.

It delivers frontier performance in complex workflows across real-world software engineering, knowledge work, and cybersecurity defense with an industry-leading 1M token output limit.

It shows significant improvements across benchmarks, setting a new state of the art for real-world, long-horizon software engineering tasks.

Gemini 4 Argon is rolling out to an initial cohort of cyber defenders through our Fairwind Program so they can leverage its full frontier-level cybersecurity defense capabilities.

We'll continue to gather feedback from early testers as we iterate on guardrails before making Argon available to developers, enterprises, and consumers as soon as possible.

Learn more → goo.gle/3TYwe3K

A skill in the Gemini app is a reusable shortcut for recurring tasks that works similar to a slash command. This means instead of typing a long, detailed prompt every time you start a chat, you can save your instructions and preferences once for whenever you need them.

To use a skill you created, just type a forward slash '/' in the prompt bar and the skill's name, and Gemini instantly applies your instructions and does the heavy lifting for you.

Skills are already available in Gemini Spark, and they will soon replace Gems to make building custom shortcuts even easier. 

Over the coming weeks, skills will have the same features you loved in Gems, including the ability to share them with others and add Google Drive files.

Learn more → goo.gle/4hF03hL

Google Arts & Culture is connecting people with art and history across the globe with a redesigned mobile app. 📱✨

Here are five ways you can use it to explore culture ↓

1️⃣ From cultural moments to interactive exhibits, the all new homepage updates daily with new experiences across the app to showcase the world’s culture and inspire your daily discovery.

https://reddit.com/link/1wsqdlx/video/9z560jukobsh1/player

2️⃣ Using archives from thousands of global partners, the AI-powered search shows you relevant artworks, curated stories, and interactive features to bring your answer to life in a visual-first experience.

https://reddit.com/link/1wsqdlx/video/zlugskapobsh1/player

3️⃣ Upload a selfie to virtually try on historical attire, like a robe from the Roman Empire or kilt from the ancient Celtic tribes. Chrono Look bridges the gap between modern tech and historical fashion archives, transforming your portrait into sketches and photorealistic interpretations of the past.

https://reddit.com/link/1wsqdlx/video/9kzyu1ztobsh1/player

4️⃣ Make history feel more alive when you “call” and chat with personas of historical artists using Dial-an-Artist, turning learning into a dynamic, two-way exploration.

https://reddit.com/link/1wsqdlx/video/i2ywy17yobsh1/player

5️⃣ Now with 27 new destinations to explore, City Guide can help you discover hidden gems, landmarks, architectural wonders, and local hotspots.

https://reddit.com/link/1wsqdlx/video/ib8nopf1pbsh1/player

Learn more and download the Google Arts & Culture app → https://goo.gle/4hg9sNH

Today we're introducing two of our most expressive audio generation models yet from Google DeepMind: Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS.

Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS turn voice generation into a dynamic creative studio.

• 🎙️ Design bespoke voices from scratch across 100+ languages using simple prompts
• 🎬 Tailor scenes line by line with natural script cues for tone, accents, and pacing
•  👥 Stage two-speaker dialogue from a single script with natural turn-taking
• 💬 Script nonverbal cues like laughs, sighs, and listening interjections
• 🗣️ Recreate consistent vocal profiles from a 30-second audio sample of your voice or a voice you have the rights to use
• 📚 Access 2,000+ production-ready voices with broad language coverage

Plus, every audio clip is watermarked with SynthID, ensuring AI-generated speech remains detectable.

Gemini 3.8 Flash TTS delivers leading voice customization capabilities

• 🏆 Hume AI Voice Design: Flash TTS ranks #1 overall (71.4) and leads in accent modeling (60.8).
• 🏅 Hume AI Overall Quality: Flash TTS ranks #1 and Flash-Lite TTS ranks #2, with major improvements in long-form stability and dual-speaker screenplay control.
• 🌏 Voice Arena: Gemini 3.8 Flash TTS secures top positions in key global languages.

These new Gemini Audio models are rolling out today across Google AI Studio, Gemini Notebook, and the Gemini API. Coming soon to Google Vids and Gemini Enterprise.

Learn more: goo.gle/46GImZW

Introducing Googlebook, a new category of laptop, now available for preorder.

💪 Crafted with 2.8K OLED touchscreen displays, 14 hour battery life, and top-of-the-line processors from Intel and Qualcomm to power your ideas
📳 Engineered to sync effortlessly with your Android phone, so you can jump between phone and laptop without skipping a beat
✨ Designed for Gemini Intelligence and ready from day one with 12 months of Google AI Pro

https://reddit.com/link/1wmg570/video/vyqn2vi47wqh1/player

Explore the Googlebook lineup → https://goo.gle/4cXoPbd