Zhemal Khamidun
Hamidun News editorial desk led by Editor-in-Chief Zhemal Khamidun (CPO of AlpinaGPT). Daily curation across 50+ global AI labs, research feeds, and industry reports in 6 languages.

MIRAGE anchors video-based 3D reconstruction to LiDAR and beats COLMAP on three datasets
MIRAGE pairs feed-forward 3D reconstruction from video with LiDAR and IMU data for metric scale, less drift and Gaussian scenes. Tested on three datasets.

OMNI: One Compact Encoder Absorbs the Knowledge of 10 Models for Pathology
Researchers made multi-teacher distillation scale: OMNI students are up to 10x more efficient than their teachers and match them on 39 digital pathology tasks.

TerraAgent checks whether the AI actually looks at the image: hallucinations drop from 17.1% to 9.8%
A multi-agent wrapper for satellite VQA nearly halved answers given "from memory": from 46.2% to 21.7%. No fine-tuning needed; the cost is 2.6 passes of the base…

TimesFM 3.0 Cuts University Building Energy Forecast Error by 43%

Wasserstein BaryBooster Turns Diffusion Realism into Event Forecast Accuracy

DiffusionART speeds up RL fine-tuning of video models 12x, with no EMA tuning

A Physical Transformer Built Entirely From Transistors Learns In-Context Learning in Simulation

Theory Shows Masked Diffusion on Transformers Learns from Õ(LK/ε) Samples
A new arXiv paper gives end-to-end guarantees for masked diffusion models: sample complexity scales as Õ(L·K_par/ε), not exponentially as V^L in sequence length.

SAZO speeds up LLM fine-tuning without backprop: up to 6× fewer queries to reach the same loss
A new zeroth-order method, SAZO, learns to tell informative training examples from uninformative ones and reaches the same loss with up to 6× fewer queries than…

Cox Regression Learns From Truncated Data Orders of Magnitude Faster Than EM

CacheScope speeds up diffusion models by up to 3.57x and cuts LPIPS by 70%

AI Error in Estimating Hidden Solar Generation Rises from 0.104 to 0.185 kW

CircuitTree assembles 39 HuBERT phoneme circuits into a syllable transcriber with 64.8% accuracy

MADS Trains Dialog Agents Not to Break: 1,095 Conversations, 66% With "Bad" Scenarios
MADS generates synthetic dialogs with toxic and unconstructive users. The benchmark covers 6 domains, 55 personas, 1095 conversations, and 66% of scenarios carry a…

U4RASD Takes 1st Place at KnowledgeGraphEval-2026: 94.06 micro-F1 on Arabic
An ensemble of Yehia, Qwen3.5 and an encoder with typed markers won the Arabic relation extraction subtask: micro-F1 of 94.06 across 40 relation types.









