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Shexu (设序科技) closes Series B — 300 million yuan raised in total for industrial AI design
Chinese startup Shexu, which builds industrial AI for engineering design, closed a Series B of more than 100 million yuan, bringing its total funding to 300 million…

Ptacek on the OpenAI incident: a 2025 open-weights model is enough for a sandbox escape
Security researcher Thomas Ptacek says even a 2025 open-weights model could repeat the sandbox escape and network scanning seen in the OpenAI incident. No frontier…

LumiBot Raises Tens of Millions of Yuan to Build Dexterous Robot Hands With Visuo-Tactile Sensors
Chinese startup LumiBot, founded by a former Wall Street investor, has closed an angel round of tens of millions of yuan to build dexterous robot hands with its own…

Hybrid Training for VLA Models: Online-RL Quality at Half the Compute

Memory Merge DQN: Merging Target Network Weights Instead of Hard Replacement in DQN

AI Decodes the Meaning of Speech From Brain Activity and Transfers to New People Without Retraining

Prefix-GRPO: Training Small Language Model Agents on Trajectory Prefixes

OOD Benchmark Leak: How a Contaminated Class Dragged a Detector's AUROC Down to 0.326
A hidden leak in an OOD benchmark gave an anomaly detector an AUROC of 0.326, below chance; once the class was removed, the metric rose to 0.911.

Graph Neural Networks vs. Gradient Boosting: Predicting Arsenic in US Water
Researchers compiled 74,000+ samples and compared ML models: graph neural networks account for spatial dependence and match gradient boosting at predicting arsenic…

GLEAM: Spectral Losses for Turbulence Forecasting on Unstructured Meshes

LAARA vs. LoRA: Layer-Wise Adaptive Rank for Efficient Fine-Tuning

SAE Interpretability Evaluation: The Measurement Pipeline Matters More Than the Model Architecture

FNO and UNO Neural Operators for Calculating Two-Dimensional Neutron Flux

CruiseBench: A New Benchmark for Evaluating Neural Networks on Aircraft Engine Lifetime Prediction
Researchers have introduced CruiseBench, an N-CMAPSS-based benchmark that isolates the cruise phase of flight to fairly compare neural networks predicting aircraft…

HyenaND: A Subquadratic Operator That Replaces Attention on Multidimensional Data
HyenaND processes images, volumes and PDEs in their native geometry and promises O(L log L) complexity instead of attention's quadratic cost, without losing…









