Spotify study links narrator voice to audiobook appeal
Spotify and Queen Mary researchers found voice features like tone and pace correlate with audiobook engagement even after controlling for the title.
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Spotify and Queen Mary researchers found voice features like tone and pace correlate with audiobook engagement even after controlling for the title.
Quantum learning separation proved in July 2026: a quantum procedure predicts many-body dynamics no classical algorithm can match, affecting quantum ML.
Researchers spent three years building a fuzzing tool that found 25 miscompilation bugs in Solidity, the compiler behind most Ethereum smart contracts.
A new 572-segment pop music benchmark shows the best AI transcription models still miss most notes in real recordings, affecting music apps and creators.
A new arXiv preprint introduces Dynamic Fréchet Regression, predicting full probability distributions across an index and selecting driving features.
New preprint introduces a censoring-aware interface letting tabular foundation models predict patient survival times without survival-specific fine-tuning.
A new Lean 4 library formalises three quantum coding theorems and builds reusable infrastructure for AI-assisted proof search in quantum information
New 5,620-case benchmark finds frontier AI matches physicians on positive clinical steps but triggers more unsafe responses in real consultations.
New DFKI preprint argues AI in pre-demolition audits must prioritise defensible decisions over accuracy, proposing four knowledge-graph modes.
Physics-constrained ML encodes the second law of thermodynamics into a combustion surrogate, cutting simulation costs by more than 10x.
LDT-Coord uses a lightweight digital twin to coordinate teams of LLM-powered robots, matching conventional methods at a fraction of the chatter.
Malaika, a multi-agent AI framework posted to arXiv this month, uses three grounding mechanisms to make malware analysis more precise and auditable.