Andy Burnham announced the creation of a National Centre for Information Defence to "detect, attribute and disrupt" information attacks by foreign powers such as Russia, saying the government had a du…
China has launched a survey of its data centres' reliance on Broadcom switches, according to the Financial Times, as part of a drive to boost domestic suppliers and reduce dependence on foreign AI inf…
An op-ed in the Financial Times argues that AI companies should face banking-style supervision, agreeing with Anthropic CEO Dario Amodei's position that both industries change rapidly and reach throug…
A new arXiv paper (2609.25482v1) proposes Terminal Shrinkage Averaging (TSA), a pretraining estimator that interpolates between the raw final iterate and the average of recent checkpoints to balance r…
Researchers proposed DefaultGNN, a dual-perspective graph neural network framework that predicts corporate default from multiplex buyer-view and seller-view transaction networks built on six years of …
Researchers introduced Active Continuous-Score Occupancy Modeling (ACORN), a method that incorporates machine-learning predictions into ecological occupancy models and selects which samples experts sh…
Researchers proposed NSFT (Neural Sub-expert Fine-Tuning), a fine-grained parameter-efficient fine-tuning framework that refines Mixture-of-Experts (MoE) large language model adaptation from experts t…
A benchmark study of six Time Series Foundation Models (TSFMs) on energy, traffic, and financial datasets found that the models outperform statistical baselines and a supervised deep learning model bu…
Researchers introduced TopoSIGN, a topology-guided graph pre-training and prompt learning framework for signed graphs, detailed in arXiv paper 2609.25722v1. TopoSIGN combines a structural encoder buil…
A new arXiv paper (2609.25876v1) evaluates SechKAN, a Kolmogorov-Arnold Network variant that uses hyperbolic secant (sech) basis functions with a 1D projection to cut parameters to a level comparable …
A new arXiv paper (2609.25874v1) establishes a rigidity theorem showing that for continuous piecewise linear generators with a finite number of segments, any C^3 function representable as geometricall…
A preregistered intervention on the Spider-Realistic text-to-SQL benchmark found that swapping the shipped single-database oracle for the benchmark's distilled multi-instance test suite raised a confo…
Researchers proposed Cross-layer Activation-aware Sensitivity Allocation (CASA), a two-phase mixed-precision quantization method that replaces scalar sensitivity proxies with an activation-aware metri…
A new arXiv paper (arXiv:2609.25962v1) reports that solver-level warmstarting can significantly reduce neural network verification time in most cases and enables successful verification of instances t…
A study by Matthia Sabatelli, published on arXiv as 2609.26018v1, found that neural networks can partially acquire exceptions to a dominant regularity, then regress toward that regularity, and finally…
Researchers proposed xWhyL, a formal framework that learns causal models from explanations, in a paper published as arXiv:2609.26037v1. The framework's mathematical theory translates explanations into…
Researchers introduced BOBA (Bayesian Optimization through Bayesian Active Inference), a new acquisition function for dynamic Bayesian optimization that minimizes predictive uncertainty about future s…
A new arXiv paper (2609.25963v1) introduces GeoPair, a training-free framework that sequentially optimizes cross-layer weight pairings and shared-dictionary factorizations to compress Transformer arch…
The Financial Times reported on September 23, 2026 that a planned meeting between Chinese President Xi Jinping and U.S. President Donald Trump should build on existing plans for dialogue between China…
A new POLITICO Poll conducted by independent polling firm Public First found that pluralities of adults across six countries — the US, Canada, the UK, France, Spain, and Germany — support pausing furt…