AI and technology, explained through what they actually mean
An ETH Zurich preprint proves four discrete diffusion methods optimize the same object — and reveals why one popular parameterization diverges at initialization
Pre-trained Transformers detect smart grid false data injection without manual features, matching XGBoost (MCC 0.595 vs 0.604) — a shift for grid operators.
A new arXiv preprint proposes converting malware binaries into colour images via Hilbert curves and entropy, then classifying them with machine learning — but t
A new arXiv preprint finds AI coding agents like Codex and Claude Code are too stochastic for single benchmark runs, affecting how teams evaluate agent performa
Chief economist Sarah Hunter says the RBA must adapt to more frequent global supply disruptions — reshaping the rate path every mortgage holder faces.
Pmeta-TLA uses timbre leakage to plant numerous backdoors at once in speech classification models, sounding natural to humans — a supply-chain threat for smart
Bit2Watt preprint shows how manipulating 1,000 GPUs in a renewable-heavy data centre can push power distortion to 46.8%, threatening both compute and grid stabi
Researchers show a single email can silently poison an AI agent's long-term memory, succeeding 87.5% of the time on benchmark tests — affecting all persistent-a
An arXiv preprint defines world models as internal simulators and proposes a staged roadmap — but AI researchers across subfields still disagree on what the ter