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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.

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Results for “Inference”

710 stories

AI ModelsBharatHunt Trend Score22

Training-Free Pronunciation Transcription via Text-Constrained Acoustic Rescoring

Training-Free Pronunciation Transcription via Text-Constrained Acoustic Rescoring. It centres on Inference, and also names Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models and AI Tools — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·25 Sept 2026
AI ModelsBharatHunt Trend Score22

Support-Compiled Feature Folding: More Evidence at Lower Memory Across Tabular Foundation Models

Support-Compiled Feature Folding: More Evidence at Lower Memory Across Tabular Foundation Models. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Models and AI Tools — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·23 Sept 2026
AI ModelsBharatHunt Trend Score21

ZENO: Nonlinear filtering with Zakai Equation Neural Operators

ZENO: Nonlinear filtering with Zakai Equation Neural Operators. The story centres on Inference. Reported by arXiv. 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.

arXiv·23 Oct 2026
AI ModelsBharatHunt Trend Score21

A Tutorial on Physics Constrained Machine Learning for Hybrid Modeling, Optimization, and Control

A Tutorial on Physics Constrained Machine Learning for Hybrid Modeling, Optimization, and Control. It centres on Inference, and also names Benchmarks and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·23 Oct 2026
AI ModelsBharatHunt Trend Score21

One Block, Multiple Depths: Recurrent Vision Transformers with Depth-Programmed Experts

One Block, Multiple Depths: Recurrent Vision Transformers with Depth-Programmed Experts. The story centres on Inference. 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·8 Oct 2026
AI HardwareBharatHunt Trend Score21

Batch Before You Lift: Scalable Topological Deep Learning on Large Graphs

Batch Before You Lift: Scalable Topological Deep Learning on Large Graphs. Reported by arXiv. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply. Open the original report for the full detail.

arXiv·8 Oct 2026
AI ModelsBharatHunt Trend Score23

Thinking in Depth, Speaking Directly: Recurrent Latent Reasoning for Paralinguistically Grounded Spoken Dialogue

Thinking in Depth, Speaking Directly: Recurrent Latent Reasoning for Paralinguistically Grounded Spoken Dialogue. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·29 Sept 2026
AI Models

JustFit: 200K-Token LLM Serving on a 24 GiB Laptop with Just-in-Time State Management

JustFit: 200K-Token LLM Serving on a 24 GiB Laptop with Just-in-Time State Management. The story centres on Inference. Reported by arXiv. Bharat Hunt files it under AI Models and Open Source AI — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv·15 Sept 2026
AI HardwareBharatHunt Trend Score21

AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories

AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories. The story centres on NVIDIA. Reported by NVIDIA. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.

NVIDIA·15 Sept 2026
AI HardwareBharatHunt Trend Score20

Nvidia CEO Jensen Huang tells Trump ‘we’re not going to let [an AI slowdown] happen’

Nvidia CEO Jensen Huang tells Trump ‘we’re not going to let [an AI slowdown] happen’. It centres on NVIDIA, and also names Jensen Huang and Elon Musk. Reported by TechCrunch. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply.

TechCrunch·15 Sept 2026
AI Models

On-Policy Distillation for Vision-Language Model Adaptation, an Effective Paradigm on Low-Quality Multimodal Data

On-Policy Distillation for Vision-Language Model Adaptation, an Effective Paradigm on Low-Quality Multimodal Data. It centres on Multimodal, and also names Inference and Benchmarks. 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·9 Sept 2026
AI HardwareBharatHunt Trend Score27

Systolic Linear Attention: Co-Designing Tile-Grouped Gated Delta Attention for TPUs

Systolic Linear Attention: Co-Designing Tile-Grouped Gated Delta Attention for TPUs. It centres on Google, and also names Perplexity. Reported by arXiv. Bharat Hunt files it under AI Hardware and Open Source AI — the section covering chips, accelerators, data centres, on-device inference and supply.

arXiv·2 days ago
Next page of AI stories

Trending AI topics

  • AI Agents6↓ 54%
  • AI Models3↓ 94%
  • AI Hardware2↓ 75%
  • AI Funding1
  • AI in India1↓ 67%

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

AI Regulation
1↓ 89%
  • AI Startups1↓ 67%
  • AI Tools1↓ 83%
  • 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↑ 47%
      22 stories
      OpenAI pledges to pay electricity, infrastructure costs for future AI data centres
    • GitHub↓ 18%
      18 stories
      Failure Prediction and Classification in Vision-Language-Action Models Via Calibrated Latent Probing
    • Meta↑ 50%
      9 stories
      Meta says US users can now video chat with their Muse AI avatar
    • Google↑ 80%
      9 stories
      Google sued over suicide-related AI chats on school computer
    • Perplexity↑ 167%
      8 stories
      Perplexity launches its own take on AI agents for work
    • Anthropic
      7 stories
      Anthropic may need to cut IPO ambitions as investors balk: report

    🇮🇳 AI in India

    See all
    • Lowdown: CERT-In’s AI Security Auditing Guidelines set out tiered framework, human oversight & incident reportingAI in India·12 hours ago
    • VeloDB’s Nitin Waghulde on why AI agents break down after the demoAI Agents·12 hours ago
    • Bombay HC protects Ananya Panday’s likeness from AI chatbots, deepfakes and fake merchandiseAI Regulation·14 hours ago
    • Cashfree Launches ‘Checkout For Agents’ To Enable AI-Led PaymentsAI Agents·15 hours ago

    AI funding

    See all
    • ByteAsk$1 million
      Undisclosed
      Indian Startup News
    • Dextr AI$6.7 Mn
      Seed
      BW Disrupt
    • ByteAsk$1 Mn
      Pre-seed·Led by Y Combinator
      Entrackr
    • Ema$77 Mn
      Series B·Led by Creaegis
      Entrackr
    • Brahma AI$150 million
      Undisclosed
      Indian Startup News

    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.