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AI Trending

What’s Trending in AI Right Now?

The latest AI news, launches, models, companies and research — collected from official sources, research feeds and reporting, grouped into stories and ranked by the BharatHunt Trend Score.

Updated 2 hours ago·31 stories in the last 24 hours

Results for “Multimodal”

9 stories

AI Models

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

Introducing Gemma 4 12B: a unified, encoder-free multimodal model. It centres on Gemma, and also names Multimodal. Reported by Google DeepMind. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

Google DeepMind·9 Jun 2026
Open Source AI

Meta is back with Muse Glimmer: local, agentic, multimodal, and open source

Meta is back with Muse Glimmer: local, agentic, multimodal, and open source. It centres on Meta, and also names Multimodal. Reported by Hugging Face. Bharat Hunt files it under Open Source AI and AI Agents — the section covering open-weight models, permissive licences and community releases.

Hugging Face·10 Aug 2026
AI ModelsBharatHunt Trend Score21

NeoMME: an efficient Multimodal-native and Multilingual Encoder

NeoMME: an efficient Multimodal-native and Multilingual Encoder. The story centres on Multimodal. Reported by Hugging Face. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.

Hugging Face·6 days ago
AI ToolsBharatHunt Trend Score21

Deploy a multimodal WhatsApp ordering assistant with Amazon Bedrock AgentCore

Deploy a multimodal WhatsApp ordering assistant with Amazon Bedrock AgentCore. It centres on Multimodal, and also names Amazon and Nova. Reported by AWS. Bharat Hunt files it under AI Tools and AI Models — the section covering applications people use — assistants, editors, search, productivity.

AWS·4 days ago
AI ModelsBharatHunt Trend Score33

Studying Image Tokenizers as Visual Languages in Unified Multimodal Models

Studying Image Tokenizers as Visual Languages in Unified Multimodal Models. It centres on Multimodal, and also names Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models and Computer Vision — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·Yesterday
AI ModelsBharatHunt Trend Score32

Evolution of Multimodal Question Answering: From Modality-Adaptive Extraction to Unified Language Representation

Evolution of Multimodal Question Answering: From Modality-Adaptive Extraction to Unified Language Representation. It centres on Multimodal, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·Yesterday
AI ModelsBharatHunt Trend Score33

NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting

NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting. The story centres on Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·Yesterday
AI ModelsBharatHunt Trend Score33

DeCAL: Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination

DeCAL: Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination. It centres on Multimodal, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and AI Regulation — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·Yesterday
Open Source AIBharatHunt Trend Score32

AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing

AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing. It centres on Multimodal, and also names Inference. Reported by arXiv. Bharat Hunt files it under Open Source AI and AI Models — the section covering open-weight models, permissive licences and community releases.

arXiv·Yesterday

Trending AI topics

  • AI Agents5↓ 55%
  • AI Models5↓ 89%
  • AI Hardware4
  • AI Research3↓ 83%
  • AI Tools3
  • AI Coding

Bharat Hunt links to original reporting and does not republish it. Headlines and links belong to their publishers; summaries and the trend ranking are ours. All AI stories

2↓ 60%
  • AI Funding2↓ 60%
  • AI Regulation2↓ 60%
  • Stories in the last 24 hours, against the 24 before it. A change is shown only where the earlier window had enough coverage to compare against.

    AI companies making noise

    • OpenAI↑ 225%
      13 stories
      Paul Christiano joins OpenAI Foundation Board
    • GitHub
      7 stories
      ExecCritic: Learn to Test, Test to Improve for Coding Agents
    • Anthropic
      6 stories
      ‘Gambling with our lives’: Anthropic researcher quits, warns against self-improving AI
    • Meta
      4 stories
      Meta debuts its Muse AI agent. Will consumers trust it?
    • Hugging Face↑ 100%
      4 stories
      Superintelligence is coming. Should we let it?
    • Amazon
      3 stories
      Amazon Prime Video’s new AI tech matches lips to dubbed audio

    🇮🇳 AI in India

    See all
    • From AI pilots to production: Rebuilding the enterprise stack for intelligent agentsEnterprise AI·7 hours ago
    • Visa calls for “AI in the loop” in cyber defence at GFF 2026 as India proposes human checks for AI paymentsAI in India·10 hours ago
    • Amazon Pay introduces Smart wallet for agentic UPI paymentsAI Agents·10 hours ago
    • Researcher claims full access to Adalat AI’s infrastructure, database and private codeAI Coding·11 hours ago

    How the BharatHunt Trend Score works

    Our own 0-100 ranking, not an industry metric and not anyone else’s “trending” number. It combines how recently a story was covered (32%), how many independent publications covered it (28%), how fast that coverage is arriving right now (20%), how reliable those sources are (12%) and how many people opened the story (8%).

    A story we cannot date carries no score at all rather than a made-up one, so some cards show no badge. Summaries are written by Bharat Hunt from the headline and the coverage — the original article is always the source of truth, and every link goes to the publisher.