Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

AI Making Call Center Agents Better or Replacing

MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers – Takara TLDR

Set up custom domain names for Amazon Bedrock AgentCore Runtime agents

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
TechCrunch AI

The latest Google Gemma AI model can run on phones

By Advanced AI EditorMay 20, 2025No Comments2 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Google’s family of “open” AI models, Gemma, is growing.

During Google I/O 2025 on Tuesday, Google took the wraps off Gemma 3n, a model designed to run “smoothly” on phones, laptops, and tablets. Available in preview starting Tuesday, Gemma 3n can handle audio, text, images, and videos, according to Google.

Models efficient enough to run offline and without the need for computing in the cloud have gained steam in the AI community in recent years. Not only are they cheaper to use than large models, but they preserve privacy by eliminating the need to transfer data to a remote data center.

During a keynote at I/O, Gemma Product Manager Gus Martins said that Gemma 3n can run on devices with less than 2GB of RAM. “Gemma 3n shares the same architecture as Gemini Nano, and is and is engineered for incredible performance,” he added.

In addition to Gemma 3n, Google is releasing MedGemma through its Health AI Developer Foundations program. According to the company, MedGemma is its most capable open model for analyzing health-related text and images.

“MedGemma [is] our […] collection of open models for multimodal [health] text and image understanding,” Martins said. “MedGemma works great across a range of image and text applications, so that developers […] can adapt the models for their own health apps.”

Also on the horizon is SignGemma, an open model to translate sign language into spoken-language text. Google says that SignGemma will enable developers to create new apps and integrations for deaf and hard-of-hearing users.

“SignGemma is a new family of models trained to translate sign language to spoken-language text, but it’s best at American Sign Language and English,” Martins said. “It’s the most capable sign language understanding model ever, and we can’t wait for you — developers and deaf and hard-of-hearing communities — to take this foundation and build with it.”

Worth noting is that Gemma has been criticized for its custom, non-standard licensing terms, which some developers say have made using the models commercially a risky proposition. That hasn’t dissuaded developers from downloading Gemma models tens of millions of times collectively, however.

Updated 2:40 p.m. Pacific: Added several quotes from Gemma Product Manager Gus Martins.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleEvolving Normalization-Activation Layers
Next Article Inside Google’s AI leap: Gemini 2.5 thinks deeper, speaks smarter and codes faster
Advanced AI Editor
  • Website

Related Posts

Meta updates chatbot rules to avoid inappropriate topics with teen users

August 29, 2025

Billionaire Ambani taps Google, Meta to build India’s AI backbone

August 29, 2025

Vocal Image is using AI to help people communicate better

August 29, 2025
Leave A Reply

Latest Posts

Woodmere Art Museum Sues Trump Administration Over Canceled IMLS Grant

Barbara Gladstone’s Chelsea Townhouse in NYC Sells for $13.1 M.

Australian School Faces Pushback over AI Art Course—and More Art News

London Museum Secures Banksy’s Piranhas

Latest Posts

AI Making Call Center Agents Better or Replacing

August 29, 2025

MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers – Takara TLDR

August 29, 2025

Set up custom domain names for Amazon Bedrock AgentCore Runtime agents

August 29, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • AI Making Call Center Agents Better or Replacing
  • MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers – Takara TLDR
  • Set up custom domain names for Amazon Bedrock AgentCore Runtime agents
  • Commonwealth Fusion’s Giant Financing Leads Otherwise Slow Week For Big Deals
  • How Intuit killed the chatbot crutch – and built an agentic AI playbook you can copy

Recent Comments

  1. Jamessmozy on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  2. Green Glucose on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  3. MashaOi0085 on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  4. 88clb com on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  5. Danielcet on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.