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.
Ingestion is behind — last completed run was 11 hours ago.
News ingestion is temporarily unavailable.
The pipeline has not completed a run recently, so what is below may be behind. Nothing here is ever filled in with placeholder news.
710 stories
CRIM: Composable and Reusable Item Memory for Efficient Personalized Retrieval. 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.
Stratified Sparse Attention: Reducing the Sparse-to-Dense Gap at Extreme Sparsity. It centres on Inference, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
SparseDecoding: Decoding-Aware Pruning for Accurate and Efficient LLM Inference. It centres on Inference, and also names Llama and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.
The Long Road to the Same Answer: Cognitive Bias Under Escalating Reasoning Budgets in Large Language Models. It centres on Reasoning Models, and also names Inference and 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.
Probe-Space Preconditioning for Fast and Stable Zero-Order Training. The story centres on Inference. 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.
KV-Kaizen: Learning Context-Adaptive Cache Compression Choices. 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.
LLM-Assisted Label Noise Correction for EEG-Based Sleep Stage Classification. It centres on Llama, and also names Inference. 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.
Rules, Traces and Routing Statistics: Training and Calibration Data for Open Models on ARC-AGI-2. It centres on AGI, and also names Fine-tuning and Reasoning Models. Reported by arXiv. Bharat Hunt files it under AI Models and AI Hardware — the section covering a new or updated model, its capabilities, benchmarks or availability.
Keeping Inference in the Radio: Design and Measurement of a Spiking Accelerator for mmWave ISAC Activity Recognition. The story centres on Inference. 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.
Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models. It centres on Data Centers, and also names NVIDIA. Reported by NVIDIA. Bharat Hunt files it under AI Hardware and AI Models — the section covering chips, accelerators, data centres, on-device inference and supply.
SemanticFold: Latent Sequence Compression SeparatesLanguage Modeling, Decodability, and Reasoning. It centres on Inference, and also names Qwen. 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.
A foundation model for energy and radiation systems built on heterogeneous scientific interfaces. It centres on Inference, and also names Fine-tuning. Reported by arXiv. Bharat Hunt files it under AI Models and AI Funding — the section covering a new or updated model, its capabilities, benchmarks or availability.
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
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.
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.