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

NVIDIA, AI & Quantum Leaders Drive Health Tech: 2 Stocks to Buy

MIT’s newest computer vision algorithm identifies images down to the pixel

Key Priorities for Safe and Responsible Adoption

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
Google DeepMind

Google DeepMind releases new AI model ‘Aeneas’ that understands ancient lingo

By Advanced AI EditorJuly 26, 2025No Comments2 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Ancient inscription graphical representation
Image by BRBurton23 via Pixabay

Google’s AI research lab, DeepMind, has introduced a new AI model to help historians better understand ancient texts. Named Aeneas, it’s the first model for contextualizing ancient inscriptions, and DeepMind has published a paper describing it in detail.

The research lab explained in a blog post that Aeneas enables historians to gain new insights into our past by helping them interpret, attribute, and restore fragmentary ancient texts. The open-source AI model is trained for Latin; however, it can also be trained for other ancient languages, scripts, and media.

It can search for texts that share similarities in wording, syntax, standardized formulas across thousands of Latin inscriptions, process multimodal input, and restore gaps in text. While historians rely on their expertise and specialized resources to identify parallels, the AI model can speed up the process and lift some time-consuming work off their shoulders.

Aeneas is named after the mythical hero from Greek and Roman mythology. It builds upon the previous AI model, Ithaca, which was developed to aid in understanding Greek inscriptions.

“Aeneas goes a step further, helping historians interpret and contextualize a text, give meaning to isolated fragments, draw richer conclusions and piece together a better understanding of ancient history,” DeepMind said in a blog post.

Google Aeneas Latin Inscription
Image via Google

The model converts each text into a historical fingerprint, containing information about what the text says, its language, its origin, and its relationship to other inscriptions. It identifies deep connections that can help historians situate inscriptions within their broader historical context. Its massive dataset of over 176,000 Latin inscriptions combines decades of work by historians.

DeepMind notes that Aeneas delivers better performance and groups inscriptions by date of writing more accurately than other general-purpose models trained on Latin. An interactive version of Aeneas is freely available for researchers, students, educators, and museum professionals to try out. Meanwhile, its source code and dataset are available on DeepMind’s GitHub repo.

Aeneas adds to Google’s growing list of tools for cultural preservation. Earlier this month, the search giant revamped its experimental AI tool, Woolaroo, which allows users to try and learn endangered indigenous languages.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleWhat to expect from Tesla CEO Elon Musk’s new Master Plan
Next Article Alibaba’s Latest AI Model Outperforms ChatGPT, DeepSeek – Alibaba Gr Hldgs (NYSE:BABA)
Advanced AI Editor
  • Website

Related Posts

Sophont, Founded by 22-Year-Old Innovator, Raises $9.22M Seed Round to Transform Healthcare with Multimodal AI

September 11, 2025

AI fuels rise of Indic linguists shaping global language models, ETBrandEquity

September 11, 2025

ByteDance unveils new AI image model to rival Google DeepMind’s ‘Nano Banana’

September 10, 2025

Comments are closed.

Latest Posts

Sally Mann Says Her Black Men Photos Are ‘Problematic’ in Hindsight

NeueHouse, a Hot Spot for Art Events, Files for Bankruptcy

National Gallery and Tate Have ‘Bad Blood’—and More Art News

Christie’s Will Auction The First Calculating Machine In History

Latest Posts

NVIDIA, AI & Quantum Leaders Drive Health Tech: 2 Stocks to Buy

September 11, 2025

MIT’s newest computer vision algorithm identifies images down to the pixel

September 11, 2025

Key Priorities for Safe and Responsible Adoption

September 11, 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

  • NVIDIA, AI & Quantum Leaders Drive Health Tech: 2 Stocks to Buy
  • MIT’s newest computer vision algorithm identifies images down to the pixel
  • Key Priorities for Safe and Responsible Adoption
  • Tesla lands regulatory green light for Robotaxi testing in new state
  • RewardDance: Reward Scaling in Visual Generation – Takara TLDR

Recent Comments

  1. private jets charters on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  2. राजा ने पैर फैलाकर on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  3. Gregorydal on Chinese Firms Have Placed $16B in Orders for Nvidia’s (NVDA) H20 AI Chips
  4. Sidneysag on Chinese Firms Have Placed $16B in Orders for Nvidia’s (NVDA) H20 AI Chips
  5. Josephmop on Chinese Firms Have Placed $16B in Orders for Nvidia’s (NVDA) H20 AI Chips

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.